IP Library Granted Patent US 12,449,409
Granted Patent B2
US 12,449,409 · App. 16/972,156 · Granted Oct 21, 2025

Emissions estimate model algorithms and methods

Inventors: Brendan James Smith (Lakeway, TX); Anders Andelman Nottrott (Santa Barbara, CA); Andrew David Aubrey (Austin, TX)
Assignee: SeekOps Inc.
G01N33/0062B64D47/00H04L5/0044B64U10/14B64U2101/26B64U2101/35B64U2201/104B64U2201/20
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,449,409
App. No.
16/972,156
Granted
Oct 21, 2025
Kind
B2
Abstract

Systems, devices, and methods including a processor having addressable memory, the processor configured to: receive an unmanned aerial vehicle (UAV) data packet, where the UAV data packet comprises methane concentration data and UAV information from a UAV flight path; receive at least one Meteorological data packet, where the Meteorological data packet comprises weather data; combine the UAV data packet with a nearest Meteorological data packet; and determine a methane emission rate of a methane source based on the combined UAV data packet and the nearest Meteorological data packet.

Claims (60)

1. A system, comprising:

a processor having addressable memory, the processor configured to determine an unmanned aerial vehicle (UAV) flight path of a UAV, wherein the UAV flight path is a raster grid pattern flight path, wherein the UAV flight path is downwind of a trace-gas source, wherein the UAV flight path forms a flight plane substantially perpendicular to an average wind direction, and wherein the UAV is configured to fly the determined UAV flight path that is determined by the processor; and

one or more trace-gas sensors mounted on the UAV and configured to measure a trace-gas released from the trace-gas source while the UAV flies the determined flight path and generates a trace-gas data packet, wherein the trace-gas data packet comprises a trace-gas concentration data along the determined UAV flight path and a location data for the one or more trace-gas sensors, wherein the location data is obtained from a location sensor, and wherein the location data for the trace-gas sensor comprises a trajectory of the trace-gas sensor in space;

wherein the processor is further configured to:

receive the trace-gas data packet;

receive at least one Meteorological data packet from one or more weather stations, each weather station configured to generate a Meteorological data packet comprising weather data, wherein the Meteorological data packet corresponds to each trace-gas data packet generated along the determined UAV flight path;

combine the trace-gas data packet with a selected spatial and temporal Meteorological data packet;

determine a trace-gas emission rate of the trace-gas source based on the combined trace-gas data packet and the selected Meteorological data packet, wherein determining the trace-gas emission rate further comprises:

converting formats of concentrations in the trace-gas concentration data along the determined UAV flight path, from volumetric concentrations to mass concentrations;

multiplying the mass concentrations in the flight plane by the corresponding wind speed at each height; and

forming a mass flux through the flight plane by integrating the multiplicated values over the entire flight plane; and

display the determined trace-gas emission rate of the trace-gas source on a map.

2. The system of claim 1 further comprising:

a display in communication with the processor, wherein the display is configured to show the determined trace-gas emission rate of the trace-gas source on a map.

3. The system of claim 2 , wherein the map is at least one of: a satellite image, an aerial image, a two-dimensional color map, a two-dimensional contour map, and a three-dimensional topographical surface.

4. The system of claim 1 , wherein the one or more trace-gas sensors detects methane gas.

5. The system of claim 1 , wherein the selected Meteorological data packet is a nearest spatial Meteorological data packet.

6. The system of claim 1 , wherein the selected Meteorological data packet is a nearest temporal Meteorological data packet.

7. The system of claim 1 , further comprising:

a payload of the one or more trace-gas sensors, wherein the payload comprises one or more in situ trace-gas concentration sensors configured to generate the trace-gas concentration data along the trajectory of the one or more trace-gas sensors in space.

8. The system of claim 7 wherein the location data comprises at least one of: a location of the one or more trace-gas sensors, a time corresponding to the location of the one or more trace-gas sensors, a barometric pressure, an altitude, a relative altitude, and an orientation of the one or more trace-gas sensors, and wherein the location data corresponds to the generated trace-gas concentration data along the trajectory of the one or more trace-gas sensors in space.

9. The system of claim 8 wherein the location of the one or more trace-gas sensors is determined by at least one of: a global positioning system (GPS) and a location sensor.

10. The system of claim 8 wherein the location of the one or more trace-gas sensors further comprises a detection of at least one of: an absolute altitude of the one or more trace-gas sensors and a relative altitude of the one or more trace-gas sensors.

11. The system of claim 8 wherein the orientation of the one or more trace-gas sensors is determined by at least one of: an inertial measurement unit (IMU) and an orientation sensor.

12. The system of claim 1 wherein the trace-gas data packet comprises: a global positioning system (GPS) location of the one or more trace-gas sensors, a time, a barometric pressure, an altitude of the one or more trace-gas sensors, and an orientation of the one or more trace-gas sensors corresponding to the generated trace-gas concentration data.

13. The system of claim 1 wherein the Meteorological Data Packet comprises data from: an anemometer, one or more pressure sensors, a pryanometer, a ground temperature sensor, an air temperature sensor, and a current atmospheric condition sensor, and wherein one or more weather stations are distal from the one or more trace-gas sensors.

14. The system of claim 8 wherein at least one of: a ground control station (GCS), a cloud server, the one or more trace-gas sensors, and the one or more weather stations comprises the processor.

15. The system of claim 1 wherein the determined trace-gas emission rate may be stored by at least one of: a ground control station (GCS) and a cloud server.

16. A method comprising:

determining, by a processor having addressable memory, an unmanned aerial vehicle (UAV) flight path of a UAV, wherein the UAV flight path is a raster grid pattern flight path, wherein the UAV flight path is downwind of a trace-gas source, and wherein the UAV flight path forms a flight plane substantially perpendicular to an average wind direction, wherein the UAV is configured to fly the determined UAV flight path from the processor;

measuring, by one or more trace-gas sensors mounted on the UAV, a trace-gas released from a trace-gas source while the UAV flies the determined flight path;

generating, by the one or more trace-gas sensors mounted on the UAV, a trace-gas data packet, wherein the trace-gas data packet comprises a trace-gas concentration data along the determined UAV flight path and a location data for the one or more trace-gas sensors, wherein the location data is obtained from a location sensor, and wherein the location data for the one or more trace-gas sensors comprises a trajectory of the one or more trace-gas sensors in space;

receiving, by the processor, the trace-gas data packet;

receiving, by the processor, two or more Meteorological data packets comprising weather data from two or more weather stations;

combining, by the processor, the trace-gas data packet with a selected spatial and temporal Meteorological data packet;

determining, by the processor, a trace-gas emission rate of a trace-gas source based on the combined trace-gas data packet and the selected Meteorological data packet, wherein determining the trace-gas emission rate further comprises:

converting formats of concentrations in the trace-gas concentration data along the determined UAV flight path, from volumetric concentrations to mass concentrations;

multiplying the mass concentrations in the flight plane by the corresponding wind speed at each height; and

forming a mass flux through the flight plane by integrating the multiplicated values over the entire flight plane; and

displaying the determined trace-gas emission rate of the trace-gas source on a map.

17. The method of claim 16 , wherein the UAV flight path forms the flight plane substantially perpendicular to a ground surface and the average wind direction.

18. The method of claim 16 wherein the UAV flight path is controlled by a user via a ground control station (GCS).

19. The method of claim 16 ,

wherein the trace-gas data packet comprises data from: a weather sensor, an onboard avionics, a barometric pressure sensor, an orientation sensor, an inertial measurement unit (IMU), a wireless radio, a global positioning system (GPS), a time measurement device, an altitude sensor, a location sensor, a radar, a lidar, an anemometer, and a Sonar;

wherein the Meteorological data packet comprises data from: an anemometer, one or more pressure sensors, a pryanometer, a ground temperature sensor, an air temperature sensor, and a current atmospheric condition sensor; and

wherein the two or more weather stations are distal from the one or more trace-gas sensors.

20. A system, comprising:

an unmanned aerial vehicle (UAV);

a payload of the UAV, wherein the payload comprises one or more in situ trace-gas concentration sensors configured to generate the trace-gas concentration data along a UAV flight path;

one or more trace-gas sensors of the UAV, wherein the one or more trace-gas sensors of the UAV are configured to measure a trace-gas released from a trace-gas source while the UAV flies the determined flight path and generate a trace-gas data packet, wherein the trace-gas data packet comprises a trace-gas concentration data along the determined UAV flight path and a location data for the trace-gas sensor, wherein the location data is obtained from a location sensor, and wherein the location data for the trace-gas sensor comprises a trajectory of the trace-gas sensor in space; and

a processor having addressable memory, the processor in communication with the UAV and one or more weather stations configured to generate a Meteorological data packet, wherein the Meteorological data packet comprises weather data from one or more sensors of the weather station, wherein the processor is configured to:

determine the UAV flight path of the UAV, wherein the UAV flight path is a raster grid pattern flight path, wherein the UAV flight path is downwind of the trace-gas source, wherein the UAV flight path forms a flight plane substantially perpendicular to an average wind direction, and wherein the UAV is configured to fly the determined UAV flight path from the processor;

receive the trace-gas data packet;

receive two or more Meteorological data packets from the two or more weather stations;

combine the trace-gas data packet with a selected spatial and temporal Meteorological data packet;

determine a trace-gas emission rate of the trace-gas source based on the combined trace-gas data packet and the nearest Meteorological data packet, wherein determining the trace-gas emission rate further comprises:

converting formats of concentrations in the trace-gas concentration data along the determined UAV flight path, from volumetric concentrations to mass concentrations;

multiplying the mass concentrations in the flight plane by the corresponding wind speed at each height; and

forming a mass flux through the flight plane by integrating the multiplicated values over the entire flight plane; and

display the determined trace-gas emission rate of the trace-gas source on a map via a display in communication with the processor.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 4, 2020
From: SMITH, BRENDAN JAMES; NOTTROTT, ANDERS ANDELMAN; AUBREY, ANDREW DAVID
To: SEEKOPS INC.
Reel/Frame 054545/0155 →
Continuity (2)
Provisional Application 62687147 · Jun 19, 2018
Related Publication 20210255158A1 · Aug 19, 2021
References Cited (303)
US 3780566A · Smith et al. · 1973 [cited by applicant]
US 4135092A · Milly · 1979 [cited by examiner]
US 4233564A · Kerbel · 1980 [cited by applicant]
US 4507558A · Bonne · 1985 [cited by applicant]
US 4651010A · Javan · 1987 [cited by applicant]
US 4988833A · Lai · 1991 [cited by applicant]
US 5047639A · Wong · 1991 [cited by applicant]
US 5075619A · Said · 1991 [cited by applicant]
US 5173749A · Tell et al. · 1992 [cited by applicant]
US 5291265A · Kebabian · 1994 [cited by applicant]
US 5317156A · Cooper et al. · 1994 [cited by applicant]
US 5767780A · Smith et al. · 1998 [cited by applicant]
US 5822058A · Adler-Golden et al. · 1998 [cited by applicant]
US 6064488A · Brand et al. · 2000 [cited by applicant]
US 6295859B1 · Hayden et al. · 2001 [cited by applicant]
US 6356350B1 · Silver et al. · 2002 [cited by applicant]
US 6509566B1 · Wamsley et al. · 2003 [cited by applicant]
US 6549630B1 · Bobisuthi · 2003 [cited by applicant]
US 7162933B2 · Thompson et al. · 2007 [cited by applicant]
US 7800751B1 · Silver et al. · 2010 [cited by applicant]
US 7833480B2 · Blazewicz et al. · 2010 [cited by applicant]
US 8060270B2 · Vian et al. · 2011 [cited by applicant]
US 8294899B2 · Wong · 2012 [cited by applicant]
US 8451120B2 · Johnson, Jr. et al. · 2013 [cited by applicant]
US 8730461B2 · Andreussi · 2014 [cited by applicant]
US 9183371B2 · Narendra et al. · 2015 [cited by applicant]
US 9183731B1 · Bokhary · 2015 [cited by applicant]
US 9235974B2 · Johnson, Jr. et al. · 2016 [cited by applicant]
US 9250175B1 · McManus · 2016 [cited by applicant]
US 9494511B2 · Wilkins · 2016 [cited by applicant]
US 9599529B1 · Steele et al. · 2017 [cited by applicant]
US 9599597B1 · Steele et al. · 2017 [cited by applicant]
US 10023311B2 · Lai · 2018 [cited by examiner]
US 10023323B1 · Roberts et al. · 2018 [cited by applicant]
US 10031040B1 · Smith et al. · 2018 [cited by applicant]
US 10126200B1 · Steele et al. · 2018 [cited by applicant]
US 10268198B2 · Mantripragada et al. · 2019 [cited by applicant]
US 10325485B1 · Schuster · 2019 [cited by applicant]
US 10365646B1 · Farnsworth et al. · 2019 [cited by applicant]
US 10429546B1 · Ulmer · 2019 [cited by applicant]
US 10677771B2 · Dittberner et al. · 2020 [cited by applicant]
US 10753864B2 · Kasten et al. · 2020 [cited by applicant]
US 10816458B2 · Kasten et al. · 2020 [cited by applicant]
US 10830034B2 · Cooley et al. · 2020 [cited by applicant]
US 10962437B1 · Nottrott · 2021 [cited by examiner]
US 11105784B2 · Kukreja et al. · 2021 [cited by applicant]
US 11112308B2 · Kreitinger et al. · 2021 [cited by applicant]
US 11275068B2 · Willett · 2022 [cited by applicant]
US 11299268B2 · Christensen et al. · 2022 [cited by applicant]
US 11519855B2 · Black et al. · 2022 [cited by applicant]
US 11557212B2 · Hong · 2023 [cited by applicant]
US 11614430B2 · Buckingham et al. · 2023 [cited by applicant]
US 11619562B2 · Leen et al. · 2023 [cited by applicant]
US 11710411B2 · Van Meeteren et al. · 2023 [cited by applicant]
US 11748866B2 · Vargas · 2023 [cited by applicant]
US 12015386B2 · Gatabi et al. · 2024 [cited by applicant]
US 20020005955A1 · Kramer et al. · 2002 [cited by applicant]
US 20030160174A1 · Grant et al. · 2003 [cited by applicant]
US 20030189711A1 · Orr et al. · 2003 [cited by applicant]
US 20030230716A1 · Russell et al. · 2003 [cited by applicant]
US 20040012787A1 · Galle et al. · 2004 [cited by applicant]
US 20040017762A1 · Sogawa et al. · 2004 [cited by applicant]
US 20040212804A1 · Neff et al. · 2004 [cited by applicant]
US 20060015290A1 · Warburton et al. · 2006 [cited by applicant]
US 20060044562A1 · Hagene et al. · 2006 [cited by applicant]
US 20060232772A1 · Silver · 2006 [cited by applicant]
US 20060234621A1 · Desrochers et al. · 2006 [cited by applicant]
US 20070137318A1 · Desrochers et al. · 2007 [cited by applicant]
US 20080169934A1 · Lang et al. · 2008 [cited by applicant]
US 20080243372A1 · Bodin et al. · 2008 [cited by applicant]
US 20090201507A1 · Kluczynski et al. · 2009 [cited by applicant]
US 20090263286A1 · Isomura et al. · 2009 [cited by applicant]
US 20090326792A1 · McGrath · 2009 [cited by examiner]
US 20100004798A1 · Bodin et al. · 2010 [cited by applicant]
US 20100131207A1 · Lippert · 2010 [cited by examiner]
US 20100140478A1 · Wilson et al. · 2010 [cited by applicant]
US 20100147081A1 · Thomas · 2010 [cited by applicant]
US 20110035149A1 · McAndrew et al. · 2011 [cited by applicant]
US 20110074476A1 · Heer et al. · 2011 [cited by applicant]
US 20110150035A1 · Hanson et al. · 2011 [cited by applicant]
US 20110164251A1 · Richter · 2011 [cited by applicant]
US 20110213554A1 · Archibald et al. · 2011 [cited by applicant]
US 20110242659A1 · Eckles et al. · 2011 [cited by applicant]
US 20110257944A1 · Du et al. · 2011 [cited by applicant]
US 20120120397A1 · Furtaw et al. · 2012 [cited by applicant]
US 20130044314A1 · Koulikov et al. · 2013 [cited by applicant]
US 20130061692A1 · Muresan et al. · 2013 [cited by applicant]
US 20130076900A1 · Mrozek et al. · 2013 [cited by applicant]
US 20130208262A1 · Andreussi · 2013 [cited by applicant]
US 20140172323A1 · Marino · 2014 [cited by applicant]
US 20140204382A1 · Christensen · 2014 [cited by applicant]
US 20140236390A1 · Mohamadi · 2014 [cited by applicant]
US 20140336957A1 · Hanson et al. · 2014 [cited by applicant]
US 20150039256A1 · Michalske · 2015 [cited by applicant]
US 20150072633A1 · Massarella et al. · 2015 [cited by applicant]
US 20150145954A1 · Pulleti et al. · 2015 [cited by applicant]
US 20150226575A1 · Rambo · 2015 [cited by applicant]
US 20150275114A1 · Tumiatti et al. · 2015 [cited by applicant]
US 20150295543A1 · Brown et al. · 2015 [cited by applicant]
US 20150316473A1 · Kester et al. · 2015 [cited by applicant]
US 20150323449A1 · Jones et al. · 2015 [cited by applicant]
US 20150336667A1 · Srivastava et al. · 2015 [cited by applicant]
US 20160018373A1 · Pagéet al. · 2016 [cited by applicant]
US 20160070265A1 · Liu et al. · 2016 [cited by applicant]
US 20160104250A1 · Allen et al. · 2016 [cited by applicant]
US 20160146696A1 · Steele · 2016 [cited by examiner]
US 20160161456A1 · Risk et al. · 2016 [cited by applicant]
US 20160202225A1 · Feng et al. · 2016 [cited by applicant]
US 20160214715A1 · Meffert · 2016 [cited by examiner]
US 20160216172A1 · Rella et al. · 2016 [cited by applicant]
US 20160307447A1 · Johnson et al. · 2016 [cited by applicant]
US 20160334538A1 · Rieker et al. · 2016 [cited by applicant]
US 20160357192A1 · McGrew et al. · 2016 [cited by applicant]
US 20170003684A1 · Knudsen et al. · 2017 [cited by applicant]
US 20170057081A1 · Krohne et al. · 2017 [cited by applicant]
US 20170089829A1 · Bartholomew et al. · 2017 [cited by applicant]
US 20170093122A1 · Bean et al. · 2017 [cited by applicant]
US 20170097274A1 · Thorpe et al. · 2017 [cited by applicant]
US 20170115218A1 · Huang et al. · 2017 [cited by applicant]
US 20170134497A1 · Harter et al. · 2017 [cited by applicant]
US 20170158353A1 · Schmick · 2017 [cited by applicant]
US 20170199647A1 · Richman et al. · 2017 [cited by applicant]
US 20170206648A1 · Marra et al. · 2017 [cited by applicant]
US 20170235018A1 · Foster et al. · 2017 [cited by applicant]
US 20170259920A1 · Lai · 2017 [cited by examiner]
US 20170290034A1 · Desai · 2017 [cited by examiner]
US 20170307519A1 · Black et al. · 2017 [cited by applicant]
US 20170336281A1 · Waxman et al. · 2017 [cited by applicant]
US 20170339820A1 · Foster et al. · 2017 [cited by applicant]
US 20180023974A1 · Otani et al. · 2018 [cited by applicant]
US 20180024091A1 · Wang et al. · 2018 [cited by applicant]
US 20180045561A1 · Leen et al. · 2018 [cited by applicant]
US 20180045596A1 · Prasad et al. · 2018 [cited by applicant]
US 20180050798A1 · Kapuria · 2018 [cited by applicant]
US 20180059003A1 · Jourdainne et al. · 2018 [cited by applicant]
US 20180067066A1 · Giedd et al. · 2018 [cited by applicant]
US 20180095478A1 · van Cruyningen · 2018 [cited by applicant]
US 20180109767A1 · Li et al. · 2018 [cited by applicant]
US 20180122246A1 · Clark · 2018 [cited by applicant]
US 20180127093A1 · Christensen et al. · 2018 [cited by applicant]
US 20180188129A1 · Choudhury et al. · 2018 [cited by applicant]
US 20180209902A1 · Myshak et al. · 2018 [cited by applicant]
US 20180259955A1 · Noto · 2018 [cited by applicant]
US 20180266241A1 · Ferguson et al. · 2018 [cited by applicant]
US 20180266946A1 · Kotidis et al. · 2018 [cited by applicant]
US 20180284088A1 · Verbeck, IV · 2018 [cited by applicant]
US 20180292374A1 · Dittberner et al. · 2018 [cited by applicant]
US 20180321692A1 · Castillo-Effen et al. · 2018 [cited by applicant]
US 20180322699A1 · Gray et al. · 2018 [cited by applicant]
US 20190011920A1 · Heinonen et al. · 2019 [cited by applicant]
US 20190011935A1 · Ham et al. · 2019 [cited by applicant]
US 20190025199A1 · Koulikov · 2019 [cited by applicant]
US 20190033194A1 · DeFreez et al. · 2019 [cited by applicant]
US 20190049364A1 · Rubin · 2019 [cited by applicant]
US 20190066479A1 · Wesley et al. · 2019 [cited by applicant]
US 20190077506A1 · Shaw et al. · 2019 [cited by applicant]
US 20190086202A1 · Guan et al. · 2019 [cited by applicant]
US 20190095687A1 · Shaw et al. · 2019 [cited by applicant]
US 20190154874A1 · Shams · 2019 [cited by examiner]
US 20190178743A1 · Mcneil · 2019 [cited by applicant]
US 20190195789A1 · Pan et al. · 2019 [cited by applicant]
US 20190204189A1 · Mohr, Jr. et al. · 2019 [cited by applicant]
US 20190212419A1 · Jeong et al. · 2019 [cited by applicant]
US 20190220019A1 · Tan et al. · 2019 [cited by applicant]
US 20190228573A1 · Sen et al. · 2019 [cited by applicant]
US 20190234868A1 · Tanomura et al. · 2019 [cited by applicant]
US 20190331652A1 · Ba et al. · 2019 [cited by applicant]
US 20200019168A1 · Guzman et al. · 2020 [cited by applicant]
US 20200050189A1 · Gu et al. · 2020 [cited by applicant]
US 20200065433A1 · Duff et al. · 2020 [cited by applicant]
US 20200109976A1 · Ajay et al. · 2020 [cited by applicant]
US 20200135036A1 · Campbell · 2020 [cited by applicant]
US 20200182779A1 · Kasten et al. · 2020 [cited by applicant]
US 20200249092A1 · Podmore et al. · 2020 [cited by applicant]
US 20200309690A1 · Green et al. · 2020 [cited by applicant]
US 20200373172A1 · Suzuki · 2020 [cited by applicant]
US 20200400635A1 · Potyrailo et al. · 2020 [cited by applicant]
US 20210017926A1 · Alkadi et al. · 2021 [cited by applicant]
US 20210037197A1 · Kester et al. · 2021 [cited by applicant]
US 20210055180A1 · Thorpe et al. · 2021 [cited by applicant]
US 20210109074A1 · Smith · 2021 [cited by examiner]
US 20210140934A1 · Smith · 2021 [cited by examiner]
US 20210190745A1 · Buckingham et al. · 2021 [cited by applicant]
US 20210190918A1 · Li et al. · 2021 [cited by applicant]
US 20210199565A1 · John et al. · 2021 [cited by applicant]
US 20210247369A1 · Nottrott · 2021 [cited by examiner]
US 20210255158A1 · Smith · 2021 [cited by examiner]
US 20210300591A1 · Tian · 2021 [cited by applicant]
US 20210321174A1 · Sun et al. · 2021 [cited by applicant]
US 20210364427A1 · Smith et al. · 2021 [cited by applicant]
US 20210382475A1 · Smith et al. · 2021 [cited by applicant]
US 20220082495A1 · Kreitinger et al. · 2022 [cited by applicant]
US 20220113290A1 · Smith et al. · 2022 [cited by applicant]
US 20220170810A1 · Miller, II et al. · 2022 [cited by applicant]
US 20220268952A1 · Liang et al. · 2022 [cited by applicant]
US 20220341806A1 · Miller et al. · 2022 [cited by applicant]
US 20220357231A1 · Nahata et al. · 2022 [cited by applicant]
US 20220397521A1 · Scott et al. · 2022 [cited by applicant]
US 20230194487A1 · Buckingham et al. · 2023 [cited by applicant]
US 20230213413A1 · Mohr, Jr. et al. · 2023 [cited by applicant]
US 20230274651A1 · McGuire et al. · 2023 [cited by applicant]
US 20230392498A1 · Srivastav et al. · 2023 [cited by applicant]
US 20240142371A1 · Scott et al. · 2024 [cited by applicant]
US 20240273648A1 · Cook et al. · 2024 [cited by applicant]
AU 3401499A · 1999 [cited by applicant]
CN 101470072A · 2009 [cited by applicant]
CN 104458588A · 2015 [cited by applicant]
CN 205749271U · 2016 [cited by applicant]
CN 106568516A · 2017 [cited by applicant]
CN 106769977A · 2017 [cited by applicant]
CN 107703075A · 2018 [cited by applicant]
CN 109780452A · 2019 [cited by applicant]
CN 211508182U · 2020 [cited by applicant]
CN 112213443A · 2021 [cited by applicant]
DE 29601472U1 · 1996 [cited by applicant]
DE 69333010 · 2004 [cited by applicant]
DE 102014013822A1 · 2016 [cited by applicant]
EP 0450809A2 · 1991 [cited by applicant]
EP 1371962B1 · 2011 [cited by applicant]
EP 3339855A1 · 2018 [cited by applicant]
FR 3047073A1 · 2017 [cited by applicant]
FR 3047073B1 · 2019 [cited by applicant]
GB 2538563A · 2016 [cited by applicant]
JP H08247939A · 1996 [cited by applicant]
JP 200975823A · 2009 [cited by applicant]
KR 20170062813A · 2017 [cited by applicant]
KR 101770254B1 · 2017 [cited by applicant]
TW 522226B · 2003 [cited by applicant]
WO 1999054700A2 · 1999 [cited by applicant]
WO 02066950A1 · 2002 [cited by applicant]
WO 2008021311A2 · 2008 [cited by applicant]
WO 2015073687A1 · 2015 [cited by applicant]
WO 2016045791A1 · 2016 [cited by applicant]
WO 2016162673A1 · 2016 [cited by applicant]
WO 2017069979A1 · 2017 [cited by applicant]
WO 2018121478A1 · 2018 [cited by applicant]
WO 2018227153A1 · 2018 [cited by applicant]
WO 2019246280A1 · 2019 [cited by applicant]
WO 2020007684A1 · 2020 [cited by applicant]
WO 2020028353A1 · 2020 [cited by applicant]
WO 2020030885A1 · 2020 [cited by applicant]
WO 2020086499A1 · 2020 [cited by applicant]
WO 2020206006A1 · 2020 [cited by applicant]
WO 2020206008A1 · 2020 [cited by applicant]
WO 2020206020A1 · 2020 [cited by applicant]
WO 2021055902A1 · 2021 [cited by applicant]
WO 2021158916A1 · 2021 [cited by applicant]
WO 2022093864A1 · 2022 [cited by applicant]
WO 2022211837A1 · 2022 [cited by applicant]
Feng, Lingbing, and et al. “CUTOFF: A spatio-temporal imputation method.” Journal of Hydrology 519 (2014): 3591-3605 (Year: 2014). [cited by examiner]
Day, S., and et al. “Characterisation of regional fluxes of methane in the Surat Basin, Queensland, Phase 1: A review and analysis of literature on methane detection and flux determination.” (2013) (Year: 2013). [cited by examiner]
Clilverd, mark A. et al., Energetic particle injection, acceleration, and loss during the geomagnetic disturbances which upset Galaxy 15, Journal of Geophysical Research, vol. 117, A12213, doi: 10.1029/2012JA018175, 201… [cited by applicant]
Kem, Christoph et al., Spatial Distribution of Halogen Oxides in the Plume of Mount Pagan Volcano, Mariana Islands, Geophysical Research Letters 10.1029/2018GL079245, Sep. 27, 2018, pp. 9588-9596 (Year:2018). [cited by applicant]
Liao, J. et al. Observations of Inorganic bromine(HOBr, BrO, and Br2) speciation at Barrow, Alaska in spring 2009, Journal of Geophysical Research, vol. 117, D00R16, doi:10.1029/2011JD016641, 2012, pp. 1-11 (Year:2012). [cited by applicant]
Liu, Siwen et al., Development of a UAV-Based System to Monitor Air Quality over an Oil Field, Montana Technological University, Montana tech Library Digital Commons @ Montana Tech Graduate Theses & Non-Theses, Fall 201… [cited by applicant]
Miyama, Toru et al., Estimating allowable carbon emission for CO2 concentration stabilization using a GCM-based Earth system model, Geophysical Research Letters, vol. 36,L19709, doi:10.1029/2009GL039678, 2009, pp. 0094-… [cited by applicant]
Oppenheimer Clive et al., Ultraviolet Sensing of Volcanic Sulfur Emissions, Elements (An Internatioknal Magazine of Mineralogy, Geochemistry, and Petrology), Apr. 2010, vol. 6, pp. 87-92 (Year: 2010). [cited by applicant]
Parazoo, Nicholas C. et al., Interpreting seasonal changes in the carbon balance of southern Amazonia using measurements of XCO2 and chlorophyll fluorescence from GOSAT, Geophysical Research Letters, vol. 40.2829-2833, … [cited by applicant]
Queiber, Manuel et al., A new frontier in CO2 flux measurements using a highly portable DIAL laser system, Scientific Reports, DOI: 10.1038/srep33834 1, Sep. 22, 2016, pp. 1-13(Year:2016). [cited by applicant]
Queiber, Manuel et al., Large-area quantification of subaerial CO2 anomalies with portable laser remote sensing and 2d tomography, The Leading Edge Mar. 2018, pp. 306-313 (Year:2018). [cited by applicant]
Lilian Joly, The evolution of AMULSE (Atmospheric Measurements by Ultra-Light Spectrometer) and its interest in atmospheric applications. Results of the Atmospheric Profiles of GreenhousE gasEs (APOGEE) weather balloon … [cited by applicant]
U.S. Appl. No. 62/687,147, filed Jun. 19, 2018, Brendan James Smith. [cited by applicant]
“SAFESITE Multi-Threat Detection System”, Jul. 11, 2012 (Jul. 11, 2012), pp. 1-6, XP055245980. [cited by applicant]
International Search Report and Written Opinion for PCT/US19/38015, mailed Oct. 18, 2019. [cited by applicant]
International Search Report and Written Opinion for PCT/US19/44119, mailed Oct. 17, 2019. [cited by applicant]
International Search Report and Written Opinion for PCT/US20/26228 mailed Jul. 1, 2020. [cited by applicant]
International Search Report and Written Opinion for PCT/US20/26232 mailed Jun. 26, 2020. [cited by applicant]
International Search Report and Written Opinion for PCT/US20/26246 mailed Jun. 29, 2020. [cited by applicant]
International Search Report and Written Opinion for PCT/US20/51696, mailed Feb. 3, 2021. [cited by applicant]
International Search Report and Written Opinion for PCT/US2020/044978, mailed Oct. 26, 2020. [cited by applicant]
International Search Report and Written Opinion for PCT/US2021/016821 mailed Apr. 26, 2021. [cited by applicant]
International Search Report and Written Opinion for PCT/US2021/024177, mailed Jun. 23, 2021. [cited by applicant]
International Search Report and Written Opinion for PCT/US2021/056708, mailed Jan. 27, 2022. [cited by applicant]
International Search Report and Written Opinion for PCT/US21/42061, mailed Nov. 26, 2021. [cited by applicant]
International Search Report and Written Opinion for PCT/US21/44532, mailed Jan. 11, 2022. [cited by applicant]
International Search Report and Written Opinion for PCT/US21/56710, mailed Feb. 23, 2022. [cited by applicant]
International Search Report and Written Opinion of PCT/US19/57305, mailed Jan. 2, 2020. [cited by applicant]
International Search Report and Written Opinion of PCT/US20/54117, mailed Dec. 22, 2020. [cited by applicant]
Joly, “Atmospheric Measurements by Ultra-Light Spectrometer (AMULSE) Dedicated to Vertical Profile In Situ Measurements of Carbon Dioxide (CO2) Under Weather Balloons: Instrumental Development and Field Application,” Se… [cited by applicant]
Khan, “Low Power Greenhouse Gas Sensors for Unmanned Aerial Vehicles”, Remote Snse. 2012, 4, 1355-1368. [cited by applicant]
Villa. “An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives”. Sensors. Web . Jul. 12, 2016. [cited by applicant]
White, “Development of an Unmanned Aerial Vehicle for the Measurement of Turbulence in the Atmospheric Boundary Layer”, Atmosphere, v.8, issue 10, 195, pp. 1-25. [cited by applicant]
International Search Report and Written Opinion for PCT/US22/38951, mailed Nov. 28, 2022. [cited by applicant]
Kelly J F et al. “A capillary absorption spectrometer for stable carbon isotope ratio (C/C) analysis in very small samples”, Review of Scientific Instruments, American Institute of Physics, 2 Huntington Quadrangle, Melv… [cited by applicant]
Krings et al., Atmos. Meas. Tech., 11, 721-739, Feb. 7, 2018. [cited by applicant]
International Search Report and Written Opinion for PCT/US19/38011 mailed Sep. 9, 2019. [cited by applicant]
International Search Report and Written Opinion for PCT/US23/13893, mailed Jun. 30, 2023. [cited by applicant]
IEEE Conference Paper, “Research of the high pressure jet performance of small size nozzle,” ISBN :978-1-5090-1087-5, Publication Date : Oct. 1, 2016, Conference dates Oct. 10, 2016 thru Oct. 12, 2016.[retrieved from th… [cited by applicant]
International Search Report and Written Opinion for PCT/US2023/023933 mailed Sep. 26, 2023. [cited by applicant]
International Search Report and Written Opinion for PCT/US23/23905 mailed Oct. 5, 2023. [cited by applicant]
Development of a mobile tracer correlation method for assessment of air emissions from landfills and other area sources, Atmospheric Environment 102 (2015) 323-330. T.A. Foster-Wittig et. al. 2015. [cited by applicant]
Measurements of Methane Emissions from Landfills Using a Time Correlation Tracer Method Based on FTIR Absorption Spectroscopy, Environ. Sci. Technol. 2001, 35, 21-25, B. Galle et. al. 2001. [cited by applicant]
Tao Lei et al:“Low-power, open-path mobile sensing platform for high-resolution measurements of greenhouse gases and air pollutants”, Applied Physics B, Springer Berlin Heidelberg, Berlin/Heidelberg, vol. 119, No. 1, Ma… [cited by applicant]
Tarsitano C G et al: Multilaser Herriott Cell for Planetary Tunable Laser Spectrometers′, Applied Optics , Optical Society of America, Washington, DC, US, vol. 46, No. 28, Oct. 1, 2007 (Oct. 1, 2007), pp. 6923-6935, XP0… [cited by applicant]
Field Trial of Methane Emission Quantification Technologies, Society of Petroleum Engineers, SPE-201537-MS, Allen et al., Oct. 2020. [cited by applicant]
Adame J A et al: “Application of cluster analysis to surface ozone, NOand SOdaily patterns in an industrial area in Central-Southern Spain measured with a DOAS system”, Science of the Total Environment, Elsevier, Amster… [cited by applicant]
Coombes et al, “Optimal Polygon Decomposition for UAV Survey Coverage Path Planning in Wind”, published: Jul. 2018, publisher: ‘Sensors’ (Year:2018). [cited by applicant]
He et al. “Static Targets′ Track Path for UAVs Meeting the Revisit Interval Requirement”, published :2013, publisher : IEEE (Year:2013). [cited by applicant]
Cabreira et al. “Survey on Coverage Path Planning with Unmanned Aerial Vehicles”, published: Drones, published: Jan. 2019, pp. 1-38, year 2019. [cited by applicant]
Uehara, K: “Dependence of harmonic signals 1-15 on sample-gas parameters in wavelength-modulation spectroscopy for precise absorption measurements”, Applied Physics B, Springer Berlin Heidelberg, Berlin/Heidelberg, vol.… [cited by applicant]
Feitz Andrew et al: “The Ginninderra CH4 and CO2 release experiment: An evaluation of gas detection and quantification techniques”, International Journal of Greenhouse Gas Control, Elsevier, Amsterdam, NL, vol. 70, Mar.… [cited by applicant]
Jensen Morten Bang et al: “Quantification of greenhouse gas emissions from a biological waste treatment facility”, Waste Management, Elsevier, New York, NY, US, vol. 67, May 29, 2017 (May 29, 2017), pp. 375-384, XP08515… [cited by applicant]
Mohn Joachim et al: “A dual tracer ration method for comparative emission measurements in an experimental dairy housing”, Atmospheric Environmnet, Elsevier, Amsterdam, NL, vol. 179, Feb. 1, 2018 (Feb. 1, 2018), pp. 12-2… [cited by applicant]