Wei et al., 2023 - Google Patents
Mapping super high resolution evapotranspiration in oasis-desert areas using UAV multi-sensor dataWei et al., 2023
View HTML- Document ID
- 12139185218542419022
- Author
- Wei J
- Dong W
- Liu S
- Song L
- Zhou J
- Xu Z
- Wang Z
- Xu T
- He X
- Sun J
- Publication year
- Publication venue
- Agricultural Water Management
External Links
Snippet
High spatial resolution maps of evapotranspiration (ET) for precision agricultural irrigation, water resource management are increasingly important in the context of climate change. Here, we conducted extensive unmanned aerial vehicle (UAV) experiments in oasis-desert …
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J1/00—Photometry, e.g. photographic exposure meter
- G01J1/42—Photometry, e.g. photographic exposure meter using electric radiation detectors
- G01J1/4228—Photometry, e.g. photographic exposure meter using electric radiation detectors arrangements with two or more detectors, e.g. for sensitivity compensation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/314—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
- G01N2021/3155—Measuring in two spectral ranges, e.g. UV and visible
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover, wind speed
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colour
- G01J3/28—Investigating the spectrum
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Vanhellemont | Combined land surface emissivity and temperature estimation from Landsat 8 OLI and TIRS | |
| Guillén-Climent et al. | Mapping radiation interception in row-structured orchards using 3D simulation and high-resolution airborne imagery acquired from a UAV | |
| Song et al. | Application of remote sensing-based two-source energy balance model for mapping field surface fluxes with composite and component surface temperatures | |
| Fitzgerald et al. | Spectral and thermal sensing for nitrogen and water status in rainfed and irrigated wheat environments | |
| CN113324656B (en) | Surface thermal anomaly detection method and system based on UAV equipped with infrared remote sensing | |
| Wei et al. | Mapping super high resolution evapotranspiration in oasis-desert areas using UAV multi-sensor data | |
| Cheng et al. | Estimating the hemispherical broadband longwave emissivity of global vegetated surfaces using a radiative transfer model | |
| Chávez et al. | Comparing aircraft-based remotely sensed energy balance fluxes with eddy covariance tower data using heat flux source area functions | |
| Yao et al. | LAI retrieval and uncertainty evaluations for typical row-planted crops at different growth stages | |
| Paul et al. | Lysimetric evaluation of SEBAL using high resolution airborne imagery from BEAREX08 | |
| Wang et al. | Estimating fractional vegetation cover from landsat-7 ETM+ reflectance data based on a coupled radiative transfer and crop growth model | |
| He et al. | Estimating the aboveground dry biomass of grass by assimilation of retrieved LAI into a crop growth model | |
| Rautiainen et al. | Coupling forest canopy and understory reflectance in the Arctic latitudes of Finland | |
| Susaki et al. | Validation of MODIS albedo products of paddy fields in Japan | |
| Du et al. | Impact of the Zhalong Wetland on neighboring land surface temperature based on remote sensing and GIS | |
| Tian et al. | Estimating zero-plane displacement height and aerodynamic roughness length using synthesis of LiDAR and SPOT-5 data | |
| He et al. | Estimation of high-resolution land surface shortwave albedo from AVIRIS data | |
| Zhang et al. | Development of the direct-estimation albedo algorithm for snow-free Landsat TM albedo retrievals using field flux measurements | |
| Czapla-Myers et al. | Radiometric calibration of earth-observing sensors using an automated test site at Railroad Valley, Nevada | |
| Sepulcre-Canto et al. | Discriminating irrigated and rainfed olive orchards with thermal ASTER imagery and DART 3D simulation | |
| Ellsäßer et al. | Predicting evapotranspiration from drone-based thermography–a method comparison in a tropical oil palm plantation | |
| Zheng et al. | Quantification of the adjacency effect on measurements in the thermal infrared region | |
| Zhou et al. | Remote sensing of regional-scale maize lodging using multitemporal GF-1 images | |
| Peng et al. | Remote sensing algorithm for surface evapotranspiration considering landscape and statistical effects on mixed pixels | |
| Manninen et al. | Airborne Measurements of Surface Albedo and Leaf Area Index of Snow‐Covered Boreal Forest |