A5101881351- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Flood Risk Assessment and Management
- Precipitation Measurement and Analysis
- Smart Agriculture and AI
- Climate variability and models
- Remote Sensing and Land Use
- Rice Cultivation and Yield Improvement
- Tropical and Extratropical Cyclones Research
- Hydrology and Drought Analysis
- Climate change impacts on agriculture
- Hydrology and Watershed Management Studies
- Power Line Communications and Noise
- Land Use and Ecosystem Services
- Wildlife Ecology and Conservation
- Remote Sensing and LiDAR Applications
- Meteorological Phenomena and Simulations
- Species Distribution and Climate Change
- Engineering and Agricultural Innovations
- Geophysics and Gravity Measurements
- Animal and Plant Science Education
- Soil Mechanics and Vehicle Dynamics
- Radio Wave Propagation Studies
- Irrigation Practices and Water Management
North Carolina State University
2022-2025
North Central State College
2022-2024
Indian Institute of Remote Sensing
2016-2023
Junagadh Agricultural University
2023
International Centre for Integrated Mountain Development
2019-2021
Flood inundation maps provide valuable information towards flood risk preparedness, management, communication, response, and mitigation at the time of disaster, can be developed by harnessing power satellite imagery. In present study, Sentinel-1 Synthetic Aperture RADAR (SAR) data Otsu method were utilized to map areas. Google Earth Engine (GEE) was used for implementing algorithm processing SAR data. The results assessed (i) calculating a confusion matrix; (ii) comparing submerge water...
Wheat is cultivated on more than 2.7 million hectares in Afghanistan annually, yet the country dependent imports to meet domestic demand. The timely estimation of wheat production highly critical address any potential food security issues and has been identified as a priority by Ministry Agriculture Irrigation Livestock (MAIL). In this study, we developed system for in-season mapping crop area based both optical (Sentinel-2) synthetic aperture radar (SAR, Sentinel-1) data support management...
High-resolution mapping of rice fields is crucial for understanding and managing cultivation in countries like Bangladesh, particularly the face climate change. Rice a vital crop, cultivated small scale farms that contributes significantly to economy food security Bangladesh. Accurate can facilitate improved production, development sustainable agricultural management policies, formulation strategies adapting climatic risks. To address need timely accurate mapping, we developed framework...
In the context of land-use and land-cover (LULC) classification, there is a lack leverage recent increase ease access to satellite imagery data, cloud computing platforms, classification techniques. We present both development an operational method for LULC that considers these progresses implementation this mountainous area Nepal. The allows comparison three maps, each derived with different technique [classification regression tree (CART), max entropy (MaxEnt), random forest (RF)] applied...
Abstract The Eurasian otter ( Lutra lutra ), smooth‐coated Lutrogale perspicillata and Asian small‐clawed Aonyx cinereus ) have all been reported previously from the Indian state of Uttarakhand. However, little information is available about their current distribution in a mountainous region that subject to increasing human‐induced stressors (such as hydropower plants, pollution, sand boulder mining, destructive fishing techniques, poaching). Owing important roles played by these otters...
Hyperspectral remote sensing has been a research focus in recent years for various landcover applications. Remote Sensing (HRS) sensors are majorly utilized detailed Land Use Landover (LULC) studies which not plausible using Multispectral (MRS) sensors. But, availability of HRS is limited due to the requirement sophisticated instrument its fabrication, makes cost and acquisition cumbersome exorbitant. In present study, spectral reconstruction approach simulation hyperspectral data from...
Estimation of rain attenuation is an important parameter for the designing both satellite and terrestrial communications links operating in a tropical country like India especially microwave frequencies above 10 GHz. The present study uses ITU-R P618-8 model to determine signal loss transmission link 20.2 30.5 GHz at New Delhi. For this purpose, 1-hourly Automatic Weather Station (AWS) rate has been converted 1-minute integration time using P837-6, before being used model. Analysis suggests...
Abstract Changes in climate and land‐use/land‐cover will impact surface water dynamics throughout the 21st century influence global availability. However, most projections of focus on drivers using local‐scale hydrological models, with few studies accounting for human such as change. We used a data‐driven, machine learning model to project seasonal areas (SWAs) southeastern U.S. from 2006 2099 that combined land‐cover under eight different development emissions scenarios. The was fitted...
<title>Abstract</title> The risk of floods from tropical storms is increasing due to climate change and human development. Maps past flood extents can aid in planning mitigation efforts decrease risk. In 2021, Hurricane Ida slowed over the Mid-Atlantic Northeast United States released unprecedented rainfall. Satellite imagery Random Forest algorithm are a reliable combination map extents. However, this not usually applied urban areas. We used Sentinel-2 (10 m), along with derived indices,...
Timely and accurately estimating rice yields is crucial for supporting food security management, agricultural policy development, climate change adaptation in rice-producing countries such as Bangladesh. To address this need, study introduced a workflow to enable timely precise yield estimation at sub-district scale (1,000-meter spatial resolution). However, significant gap exists the application of remote sensing methods government-reported management high resolution. Current are limited...
Satellite-based as well reanalysis-based datasets are widely available and useful in detecting spatial temporal variability of rainfall at a finer resolution. These products have been used weather forecasting, hydrological climate studies. However, the accuracy these satellite varies spatially across different datasets. In this study, five satellite-based precipitation with resolutions i.e., CHIRPS, ERA5, TRMM, GPM, Terra Clim on Google Earth Engine (GEE) were compared India Meteorological...
Abstract Multispectral remote sensing data is available with broad spectral bands in the wavelength range of Visible-NIR-SWIR, and finds its applications assessment Land Use Cover classes (LULC). There are plenty onboard sensors which providing these datasets regularly. However, for detailed LULC classification there a requirement distinguishing spectrally similar land cover features, possible through hyperspectral data. These rich narrow bandwidth but availability such limited. This due to...
Agriculture is primary source of livelihood for about 58% India’s population and employs 41.49% total work force with a GDP contribution 17.76% in 2019-20. Formerly agriculture was more dependent on the nature all operations were carried out manually, however new technologies have been developed to increase production productivity crops, plastic mulching one among them. By adopting mechanization required areas agriculture, timely reduced drudgery cost operation can be achieved. A tractor...