A5002534050- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Calibration and Measurement Techniques
- Atmospheric and Environmental Gas Dynamics
- Land Use and Ecosystem Services
- Atmospheric Ozone and Climate
- Soil and Land Suitability Analysis
- Climate change impacts on agriculture
- Plant Water Relations and Carbon Dynamics
- Atmospheric aerosols and clouds
- Climate variability and models
- Smart Agriculture and AI
- Satellite Image Processing and Photogrammetry
- Solar Radiation and Photovoltaics
- Soil Geostatistics and Mapping
- Food Security and Health in Diverse Populations
- Infrared Target Detection Methodologies
- Geothermal Energy Systems and Applications
- Impact of Light on Environment and Health
- Fisheries and Aquaculture Studies
- Medical Imaging Techniques and Applications
- Agricultural Economics and Practices
- Remote Sensing and LiDAR Applications
- Agricultural Systems and Practices
- Evaluation Methods in Various Fields
Bay Area Environmental Research Institute
2017-2019
United States Geological Survey
2017-2019
NASA Research Park
2018-2019
Astrogeology Science Center
2017-2019
Ames Research Center
2013-2019
Climate Central
2019
Western Geographic Science Center
2017-2018
Oak Ridge Associated Universities
2013
Southwest Petroleum University
2012
Goddard Space Flight Center
2003-2007
The automation of agricultural mapping using satellite-derived remotely sensed data remains a challenge in Africa because the heterogeneous and fragmental landscape, complex crop cycles, limited access to local knowledge. Currently, consistent, continent-wide routine cropland does not exist, with most studies focused either on certain portions continent or at one-time effort coarse resolution remote sensing. In this research, we addressed these limitations by applying an automated algorithm...
Mapping high resolution (30-m or better) cropland extent over very large areas such as continents countries regions accurately, precisely, repeatedly, and rapidly is of great importance for addressing the global food water security challenges. Such products capture individual farm fields, small large, are crucial developing accurate higher-level cropping intensities, crop types, watering methods (irrigated rainfed), productivity, productivity. It also brings many challenges that include...
A satellite-derived cropland extent map at high spatial resolution (30-m or better) is a must for food and water security analysis. Precise accurate global maps, indicating non-cropland areas, are starting points to develop higher-level products such as crop watering methods (irrigated rainfed), cropping intensities (e.g., single, double, continuous cropping), types, fallows, well assessment of productivity (productivity per unit land), water). Uncertainties associated with the have...
Cropland extent maps are useful components for assessing food security. Ideally, such products a addition to countrywide agricultural statistics since they not politically biased and can be used calculate cropland area any spatial unit from an individual farm various administrative unites (e.g., state, county, district) within across nations, which in turn estimate productivity as well degree of disturbance on security natural disasters political conflict. However, existing over large areas...
The general circulation model (GCM) experiments conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) [ Taylor et al ., 2012], which is being in preparation for Intergovernmental Panel on Climate Change's Fifth Assessment Report, provide fundamental data sets assessing effects of global climate change. However, efforts to assess regional or local projected changes are often impeded by coarse spatial resolution GCM outputs, as well potential biases outputs Fowler 2007].
The South Asia (India, Pakistan, Bangladesh, Nepal, Sri Lanka and Bhutan) has a staggering 900 million people (~43% of the population) who face food insecurity or severe as per United Nations, Food Agriculture Organization’s (FAO) Insecurity Experience Scale (FIES). existing coarse-resolution (≥250-m) cropland maps lack precision in geo-location individual farms have low map accuracies. This also results uncertainties areas calculated from such products. Thereby, overarching goal this study...
First posted November 19, 2021 For additional information, contact: Director, Western Geographic Science Center U.S. Geological Survey350 N. Akron Rd. Moffett Field, CA 94035 Global food and water security analysis management require precise accurate global cropland-extent maps. Existing maps have limitations, in that they are (1) mapped using coarse-resolution remote-sensing data, resulting the lack of mapping location croplands their accuracies; (2) derived by collecting collating national...
The MODIS instrument on the EOS Terra Mission has completed over 2 years of successful operation. Excellent data products have been developed and a full year or more these are now available. Validation is continuing efforts to improve product availability access underway. Aqua satellite projected become operational in 2002.
Mapping croplands, including fallow areas, are an important measure to determine the quantity of food that is produced, where they and when produced (e.g. seasonality). Furthermore, croplands known as water guzzlers by consuming anywhere between 70% 90% all human use globally. Given these facts increase in global population nearly 10 billion year 2050, need for routine, rapid, automated cropland mapping year-after-year and/or season-after-season great importance. The overarching goal this...
Cropland fallows are the next best-bet for intensification and extensification, leading to increased food production adding nutritional basket. The agronomical suitability of these lands can decide extent usage lands. Myanmar's agricultural land (over 13.8 Mha) has potential expand by another 50% into additional fallow areas. These areas may be used grow short-duration pulses, which economically important nutritionally rich, constitute diets millions people as well provide an source...
A provisional surface reflectance (SR) product from the Advanced Himawari Imager (AHI) on-board new generation geostationary satellite (Himawari-8) covering period between July 2015 and December 2018 is made available to scientific community. The Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm used in conjunction with time series Himawari-8 AHI observations generate 1-km gridded tiled land SR every 10 minutes during day time. This includes retrieved atmospheric...
Projected changes in the frequency and severity of droughts as a result increase greenhouse gases have significant impact on role vegetation regulating global carbon cycle. Drought effect Gross Primary Production (GPP) is usually modeled function Vapor Pressure Deficit (VPD) and/or soil moisture. Climate projections suggest strong likelihood increasing trend VPD, while regional precipitation are less certain. This difference between VPD can cause considerable discrepancies predictions...