A5069870305- Remote Sensing in Agriculture
- Atmospheric Ozone and Climate
- Atmospheric and Environmental Gas Dynamics
- Atmospheric chemistry and aerosols
- Atmospheric aerosols and clouds
- Remote Sensing and LiDAR Applications
- Leaf Properties and Growth Measurement
- Calibration and Measurement Techniques
- Land Use and Ecosystem Services
- Air Quality Monitoring and Forecasting
- Water Quality Monitoring and Analysis
- Urban Heat Island Mitigation
- Remote Sensing and Land Use
- Satellite Image Processing and Photogrammetry
- Vehicle emissions and performance
- Impact of Light on Environment and Health
- Species Distribution and Climate Change
- Remote-Sensing Image Classification
- Marine and coastal ecosystems
- Fault Detection and Control Systems
- Forest Management and Policy
- Advanced Image Fusion Techniques
- Plant Water Relations and Carbon Dynamics
- Infrared Target Detection Methodologies
- Coral and Marine Ecosystems Studies
Science Systems and Applications (United States)
2012-2025
Goddard Space Flight Center
2003-2024
Jilin University
2010-2021
Jilin Province Science and Technology Department
2018-2021
Wayne State University
2002-2005
RTX (United States)
2000
Abstract. We present a new and improved version (V4.0) of the NASA standard nitrogen dioxide (NO2) product from Ozone Monitoring Instrument (OMI) on Aura satellite. This incorporates most salient improvements for OMI NO2 products suggested by expert users enhances data quality in several ways through to air mass factors (AMFs) used retrieval algorithm. The algorithm is based geometry-dependent surface Lambertian equivalent reflectivity (GLER) operational that available an pixel basis. GLER...
The Radiation Transfer Model Intercomparison (RAMI) initiative is a community‐driven exercise to benchmark the models of radiation transfer (RT) used represent reflectance terrestrial surfaces. Systematic model intercomparisons started in 1999 as self‐organized, open‐access, voluntary activity RT modeling community. results first phase were published by Pinty et al. [2001] . present paper describes benchmarking protocol and achieved during second phase, which took place 2002. This included...
Saturation effects limit the application of vegetation indices (VIs) in dense areas. The possibility to mitigate them by adopting a negative soil adjustment factor X is addressed. Two leaf area index (LAI) data sets are analyzed using Google Earth Engine (GEE) for validation. first one derived from observations MODerate resolution Imaging Spectroradiometer (MODIS) 16 April 2013, 21 October 2020, Apiacás area. Its corresponding VIs calculated combination Sentinel-2 and Landsat-8 surface...
Abstract. Most satellite nadir ultraviolet and visible cloud, aerosol, trace-gas algorithms make use of climatological surface reflectivity databases. For example, cloud NO2 retrievals for the Ozone Monitoring Instrument (OMI) monthly gridded climatologies that do not depend upon observation geometry. In reality, reflection incoming direct diffuse solar light from land or ocean surfaces is sensitive to sun–sensor This dependence described by bidirectional reflectance distribution function...
Abstract. The anisotropy of the Earth's surface reflection has implications for satellite-based retrieval algorithms that utilize climatological reflectivity databases do not depend upon observation geometry. This is case most current ultraviolet and visible (UV–Vis) cloud, aerosol, trace-gas algorithms. illumination–observation dependence described by bidirectional reflectance distribution function (BRDF). To account BRDF effect, we use concept geometry-dependent Lambertian-equivalent...
The TROPOspheric Monitoring Instrument (TROPOMI) observed unprecedented declines in NO2 vertical column densities (VCD) over the world's most densely populated cities during 2020 COVID-19 lockdowns. These favorable changes air quality were correlated with sharp reductions traffic volume and economic activity In this comprehensive global study, we provide revised estimates of anthropogenic emissions for 36 megacities using a novel methodology disentangling from meteorological transport...
Abstract This Algorithm Theoretical Basis Document (ATBD) describes the retrieval algorithm and sensitivities of Version 3 cloud product derived from spectra collected by Tropospheric Emissions: Monitoring POllution (TEMPO) instrument. The is primarily produced for supporting retrievals TEMPO trace gases that are important understanding atmospheric chemistry monitoring air pollution. adapted NASA's Ozone Instrument (OMI) oxygen collision complex (O 2 ‐O ) algorithm. generates effective...
Abstract. We discuss a new cloud algorithm that retrieves an effective pressure, also known as optical centroid pressure (OCP), from oxygen dimer (O2-O2) absorption at 477 nm after determining fraction (ECF) 466 nm, wavelength not significantly affected by trace-gas and rotational Raman scattering. The retrieved products are intended for use inputs to the operational nitrogen dioxide (NO2) retrieval Ozone Monitoring Instrument (OMI) flying on Aura satellite. uses temperature-dependent O2-O2...
Abstract. Measured upwelling radiances from Nimbus-7 SBUV (Solar Backscatter Ultraviolet) and seven NOAA SBUV/2 instruments have been used to calculate the 340 nm Lambertian equivalent reflectivity (LER) of Earth 1979 2011 after applying a common calibration. The LER is highly correlated with cloud aerosol cover because low surface land oceans (typically 2 6 RU, units, where 1 RU = 0.01 1.0%) relative much higher clouds plus nonabsorbing aerosols 10 90 RU). Because nearly constant seasonal...
[1] Thirty years of satellite measurements Lambert equivalent reflectivity (LER) at 340 nm have been analyzed to show the changes in diurnal LER that are associated with cloud and aerosol amounts. Five degree zonal mean variations obtained from multiple NASA NOAA satellites making 0600 1800 local solar time. These means were calculated separately over water land. The results different behavior clouds oceans peaking morning compared land, which peaks afternoon. Over amount increases as a...
Abstract. We present a new and improved version (V4.0) of the NASA standard nitrogen dioxide (NO2) product from Ozone Monitoring Instrument (OMI) on Aura satellite. This incorporates most salient improvements for regional OMI NO2 products suggested by expert users, enhances data quality in several ways global scale through to air mass factors (AMFs) used retrieval algorithm. The algorithm is based conceptually new, geometry-dependent surface Lambertian equivalent reflectivity (GLER)...
Surface bidirectional reflectance distribution function (BRDF) influences both the radiance just above surface and that emerging from top of atmosphere (TOA). In this study we propose a new, fast, accurate algorithm CASBIR (correction for anisotropic reflection) to account such on TOA radiance. This new is based four‐stream theory separates radiation field into direct diffuse components in upwelling downwelling directions. Such separation important because component accounts substantial...
Soil-Adjusted Vegetation Index (SAVI) is found to be undesirable estimate Leaf Area (LAI) with heterogeneous canopy structure in low vegetation cover. In this article, three new indices (VIs), such as Normalized Hotspot-Signature 2 (NHVI2), (HSVI), and 2-Band Enhanced (HEVI2), are proposed for a better quantitative estimation of LAI soil-noise resistance than SAVI. To obtain these indices, the angular index called Difference between Hotspot Darkspot (NDHD) introduced which represents...
Chlorophyll-a (Chl-a) concentration retrieval is essential for water quality monitoring, aquaculture, and guiding coastline infrastructure construction. Compared with common ocean color satellites, land observation satellites have the advantage of a higher resolution more data sources retrieving Chl-a from optically shallow waters. However, sun glint (Rsg), bottom reflectance (Rb), non-algal particle (NAP) derived terrigenous matter affect accuracy using satellite image data. In this paper,...
Retrievals of ocean color from space are important for better understanding the ecosystem but can be limited under conditions such as clouds, aerosols, and sunglint. Many algorithms use a few selected spectral bands to perform an atmospheric correction then derive upwelling radiance ocean. The limitations in certain lead many gaps daily spatial coverage retrievals. To address these limitations, we introduce new approach that uses machine learning estimate top atmosphere radiances or...
3D Lidar waveform and radar backscatter models based on Radiative Transfer theory were used to simulate backscattering of various plots with different stand ages structures, which generated using forest growth model. The inversion for estimating Above Ground Biomass (AGB) Average Stand Height (ASH) derived from the combined simulated database large footprint waveforms L-band polarimetric SAR stepwise analysis method. procedures then applied NASA LVIS ALOS PALSAR data retrieve parameters...
Satellite-based visible and near-infrared imaging of the Earth’s surface is generally not performed in moderate to highly cloudy conditions; images that look visibly cloud covered human eye are typically discarded. Here, we expand upon previous work employed machine learning (ML) estimate underlying land reflectances at red, green, blue (RGB) wavelengths contaminated spectra using a low spatial resolution satellite spectrometer. Specifically, apply ML methodology case study much higher with...
Abstract. EOS/MODIS land surface Bi-directional Reflectance Distribution Function (BRDF) product (MCD43), with the latest version C6, is one of most important operational BRDF products global coverage. The core sub-product MCD43A1 stores 3 parameters RossThick-LiSparseR semi-empirical kernel-driven model. It for confident use to evaluate accuracy bi-directional reflectance factor (BRF) predicted by model (mBRF). A typical region in central part Northeast Asia selected as study area....
Relations between NDVI and FAI (foliage area index) fAPAR (fraction of absorbed photosynthetically active radiation) are examined using simulated MISR data. More linear, statistically significant relationships (fAPAR) shaded (sunlit) foliage fraction identified. The dominant role the sunlit scene component in determining is physically interpreted, a more effective (accurate) way to use (to estimate fAPAR) also suggested.
The feasibility of estimating leaf size from canopy reflectance in the hotspot region is investigated for both homogeneous (leaf) and heterogeneous (rowed crops trees) canopies. authors specify optimal Sun-view geometry, wavelength index which can minimize impacts other structural parameters (e.g. LAI, angle distribution (LAD) interplant spacing) most accurate estimation.
Space-based quantitative passive optical remote sensing of the Earth's surface typically involves detection and elimination cloud-contaminated pixels as an initial processing step. We explore a fundamentally different approach; we use machine learning with cloud contaminated satellite multi-spectral data to estimate underlying terrestrial reflectances at red, green, blue (RGB) wavelengths. The NN reproduces land RGB high fidelity even in scenes moderate thicknesses. This implies that...
Abstract. Measured upwelling radiances from Nimbus-7 SBUV, seven NOAA SBUV/2 and the AURA-OMI instruments have been used to calculate 340 nm Lambertian Equivalent Reflectivity (LER) of Earth 1979 2011 after applying a new common calibration. The LER is highly correlated with cloud aerosol cover because low surface reflectivity land oceans (typically 2 6 RU, where 1 RU = 0.01 1.0%) relative much higher clouds plus aerosols 10 90 RU). Because nearly constant seasonal long-term reflectivity,...