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33 Publications • 30,000+ Reads • 290+ Citations
Our Research Work
Explore our published research papers, methodologies, and scientific contributions to environmental monitoring, carbon estimation, and remote sensing.
23
Total Publications
8
Research Articles
8
Conference Papers
2009-2023
Years of Research
Featured Research
Highlighted Publications
Forest & Carbon
Article
Mar 2012
Prashant Patil
Above Ground Forest Phytomass Assessment in Southern Gujarat
Spectral modeling of above ground biomass (AGB) with field data collected in 48 field sites representing moist deciduous forest in Surat district is reported. Models were generated using LISS-III and MODIS data. The plot-wise field data was aggregated to MODIS pixel (250 m) using area weightages of forest/vegetation. The study reports that above ground phytomass varied from 6.13 t/ha to 389.166 t/ha while AGB phytomass estimated using area-weights for sites of 250×250 m, ranged from 5.534 t/ha to 134.082 t/ha. The contribution of bamboo in AGB has been found very high. The analysis indicated that the highest correlation between AGB phytomass and red band (R) of MODIS satellite data of October was (R2=0.7823) and R2=0.6938 with both NDVI of October data as well as NDVImax. High correlation (R2=0.402) with IR band of February month was also found. The phytomass range obtained by using MODIS data varies from 0.147 t/ha to 182.16 t/ha. The mean biomass is 40.50 t/ha. Total biomass is 31.44 Mt. The mean Carbon density is 19.44 tC/ha in forest areas. The study is validation of region-wise spectral modeling approach that will be adopted for mapping vegetation carbon pool of the India under National Carbon Project of ISRO-Geosphere Biosphere Programme.
Forest Biomass
Phytomass
MODIS
Agriculture
Article
Jul 2018
Prashant Patil
A Review of the Available Land Cover and Cropland Maps for South Asia
A lack of accuracy, uniqueness and the absence of systematic classification of cropland categories, together with long-pending updates of cropland mapping, are the primary challenges that need to be addressed in developing high-resolution cropland maps for south Asia. In this review, we analyzed the details of the available land cover and cropland maps of south Asia on national and regional scales in south Asia and on a global scale. Here, we highlighted the methodology adopted for classification, datasets used, classification system used for classifying different land covers and croplands and the resolution of datasets available. This listed review of different available datasets can help the reader to know which datasets to be used in their study and to understand which methodology to be chosen to further developing the accurate high-resolution land cover and cropland maps for advanced studies and for better understanding of ground reality in a timely updated version. We tried to identify the major concerns, particularly the inadequacy of knowledge regarding the spatial distribution of major crop types within south Asia, which hinder policy and strategic investment and delay the efforts to improve food security for a rapidly growing human population at a time of constant market instability and changing global climate. The overall focus of this paper is on reviewing the need for timely updated high-resolution cropland maps of south Asia.
Land Cover
Cropland Maps
South Asia
Remote Sensing
Article
Jul 2022
Prashant Patil
Understanding the Concept of Biomimetics for Geoinformatics Technology and its Utilization for Nature-based Solutions
This study aims to introduce a wide range of readers to some of animals' exceptional remote sensing and navigation abilities. A comparison of remote sensors employed by animals and those built by humans is presented in this research. Thermal infrared sensors used by snakes, echolocation used by bats and dolphins, and navigation systems used by birds are analyzed. The study explores how biomimetics can be applied to geoinformatics technology and utilized for developing nature-based solutions for environmental monitoring and conservation.
Biomimetics
Geoinformatics
Nature-based Solutions
Research Library
All Publications
Browse all 23 research publications. Use filters to find specific papers.
Showing 9 of 23 publications
Remote Sensing
Article
August 2023
Application of Geospatial Technology for the Land Use/Land Cover Change Assessment and Future Change Predictions Using CA Markov Chain Model
Authors: Shravankumar Shivappa Masalvad, Chidanand Patil, Akkaram Pravalika, Praveen Kumar Sakare
The study of changes in land use and land cover (LULC) is helpful in the understanding of change and management of environmental sustainability. As a result, the central Telangana districts are the focus of this study since they are under stress from both natural and human-caused problems. The examination of LULC variations and predictions for the future using CA Markov chain model.
LULC
CA Markov
Geospatial Technology
Change Detection
Telangana
Remote Sensing
Article
July 2022
Understanding the Concept of Biomimetics for Geoinformatics Technology and its Utilization for Nature-based Solutions
Authors: Prashant Patil, Nagaraj Hegde, Chintan Nanda, U. K. Sahoo
This study aims to introduce a wide range of readers to some of animals' exceptional remote sensing and navigation abilities. A comparison of remote sensors employed by animals and those built by humans is presented in this research. Thermal infrared sensors used by snakes, echolocation used by bats and dolphins, and navigation systems used by birds are analyzed. The study explores how biomimetics can be applied to geoinformatics technology and utilized for developing nature-based solutions for environmental monitoring and conservation.
Biomimetics
Geoinformatics
Nature-based Solutions
Remote Sensing
Environmental Monitoring
Agriculture
Conference Paper
September 2020
Application of Geospatial Technology for High Resolution Mapping & Monitoring of Crop Patterns in Support of Crop Insurance for the Rainfed Regions of India
Authors: Prashant Patil, Michael Anthony
Spectral reflectance and backscattering's of remotely-sensed data presents significant details of different objects on the Earth's surface in numerous applications of space technology. In this study, satellite datasets such as Sentinel-1 i.e. synthetic aperture radar (SAR) and Sentinel-2 satellite datasets i.e. multispectral data is used for high resolution crop pattern mapping.
Crop Mapping
SAR
Sentinel
Crop Insurance
Rainfed Agriculture
Agriculture
Presentation
August 2019
Clouds are No-More Barriers for Mapping High-Resolution Crop Pattern/Type Maps
Authors: Prashant Patil
Crop pattern/type map derived by using Sentinel-1(SAR) data, Prabhani district, Maharashtra, Kharif-2019. This presentation demonstrates how SAR data can overcome cloud cover limitations for agricultural monitoring.
SAR
Crop Mapping
Cloud-free
Sentinel-1
Remote Sensing
Article
February 2019
Conflation of Expert and Crowd Reference Data to Validate Global Binary Thematic Maps
Authors: Francois Waldner, Anne Schucknecht, Myroslava Lesiv, Prashant Patil, Pierre Defourny
With the unprecedented availability of satellite data and the rise of global binary maps, the collection of shared reference data sets should be fostered to allow systematic product benchmarking and validation. Authoritative global reference data are generally collected by experts with regional knowledge through photo-interpretation.
Validation
Global Maps
Crowdsourcing
Reference Data
Agriculture
Article
July 2018
A Review of the Available Land Cover and Cropland Maps for South Asia
Authors: Prashant Patil, Murali Krishna Gumma
A lack of accuracy, uniqueness and the absence of systematic classification of cropland categories, together with long-pending updates of cropland mapping, are the primary challenges that need to be addressed in developing high-resolution cropland maps for south Asia. In this review, we analyzed the details of the available land cover and cropland maps of south Asia on national and regional scales in south Asia and on a global scale. Here, we highlighted the methodology adopted for classification, datasets used, classification system used for classifying different land covers and croplands and the resolution of datasets available. This listed review of different available datasets can help the reader to know which datasets to be used in their study and to understand which methodology to be chosen to further developing the accurate high-resolution land cover and cropland maps for advanced studies and for better understanding of ground reality in a timely updated version. We tried to identify the major concerns, particularly the inadequacy of knowledge regarding the spatial distribution of major crop types within south Asia, which hinder policy and strategic investment and delay the efforts to improve food security for a rapidly growing human population at a time of constant market instability and changing global climate. The overall focus of this paper is on reviewing the need for timely updated high-resolution cropland maps of south Asia.
Land Cover
Cropland Maps
South Asia
Agriculture
Remote Sensing
Food Security
Agriculture
Presentation
July 2016
Decision Tree Algorithm for Crop Type Mapping Using Landsat 8 Optical Satellite Imagery
Authors: Prashant Patil, Miao Zhang, Chandrashekhar M. Biradar, Bingfang Wu
Oral Presentation for the session: Crop Monitoring and Precision Agriculture. This study presents a decision tree algorithm approach for accurate crop type classification using Landsat 8 multispectral data.
Decision Tree
Crop Mapping
Landsat 8
Machine Learning
Agriculture
Article
July 2015
Mapping and Monitoring of Food Legumes and Dryland Cereal Production Systems
Authors: Prashant Patil, Chandrashekhar M. Biradar, Layal Atassi, Shiv Kumar
Publisher: IEEE. Mapping and monitoring of the agricultural production systems on a regular interval provide important spatial matrix on the status, trend, and options for effective intervention at multiple scales. The recent advances in agro-geoinformatics big-data enriched with increasing open-access protocols become an integral part of solving these challenges.
Food Legumes
Dryland Cereals
Crop Monitoring
Agro-geoinformatics
Agriculture
Conference Paper
July 2015
Mapping and Monitoring of Agricultural Production Systems for the Better Interventions of Crop Management
Authors: Prashant Patil, Layal Atassi, Jalal Eddin Omary, Chandrashekhar M. Biradar
In response to the growing demand on world food supplies, the past few years have seen an increased need for timely, comprehensive, transparent, accurate global agricultural intelligence and technology options. Global agricultural trade, effective national and international agricultural policies, and timely response to food crises, depend on reliable information.
Crop Management
Agricultural Monitoring
Food Security
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