Lista de obras - Prasad Thenkabail - Dominio Público Uruguay

A Bibliometric Profile of the Remote Sensing Open Access Journal Published by MDPI between 2009 and 2018

scholarly article

A History Of Irrigated Areas Of The World

artículo científico publicado en 2009

A Holistic View of Global Croplands and Their Water Use for Ensuring Global Food Security in the 21st Century through Advanced Remote Sensing and Non-remote Sensing Approaches

A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing

article by Chandrashekhar M. Biradar et al published April 2009 in International Journal of Applied Earth Observation and Geoinformation

A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades

A sweet deal? Sugarcane, water and agricultural transformation in Sub-Saharan Africa

Accuracies Achieved in Classifying Five Leading World Crop Types and their Growth Stages Using Optimal Earth Observing-1 Hyperion Hyperspectral Narrowbands on Google Earth Engine

scholarly article by Itiya Aneece & Prasad S. Thenkabail published 13 December 2018 in Remote Sensing

Advances in Hyperspectral Remote Sensing of Vegetation and Agricultural Croplands

article published in 2011

Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud

scholarly article by Murali Krishna Gumma et al published 22 November 2019 in GIScience & remote sensing

Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

article

Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India)

article by Murali Krishna Gumma et al published 20 June 2011 in International Journal of Remote Sensing

Classifying Crop Types Using Two Generations of Hyperspectral Sensors (Hyperion and DESIS) with Machine Learning on the Cloud

artículo científico publicado en 2021

Context, Need

artículo científico publicado en 2009

Decadal Variations in NDVI and Food Production in India

article

Detecting floristic structure and pattern across topographic and moisture gradients in a mixed species Central African forest using IKONOS and Landsat-7 ETM+ images

Free Access to Landsat Imagery

artículo científico publicado en 2008

Global Irrigated Area Maps (GIAM) and Statistics Using Remote Sensing

artículo científico publicado en 2009

Global Map of Rainfed Cropland Areas (GMRCA) and Statistics Using Remote Sensing

artículo científico publicado en 2009

Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on Google Earth Engine cloud

artículo científico publicado en 2021

Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download Analysis

artículo científico publicado en 2022

Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium

article by Prasad S. Thenkabail et al published July 2009 in International Journal of Remote Sensing

Hyperspectral Remote Sensing of Vegetation and Agricultural Crops

Hyperspectral remote sensing of vegetation

Book, published in 2011

Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission

scientific article published in 2013

International Water Management Institute's Data Storehouse Pathway (IWMIDSP): a unique data and knowledge gateway of spatial data with emphasis on river basins

artículo científico publicado en 2006

Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics

article by Prasad S. Thenkabail et al published 17 April 2009 in Remote Sensing

Irrigated Areas of India Derived from Satellite Sensors and National Statistics

artículo científico publicado en 2009

Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India

article by T. W. Biggs et al published October 2006 in International Journal of Remote Sensing

Irrigated areas of India derived using MODIS 500 m time series for the years 2001–2003

article by V. Dheeravath et al published January 2010 in ISPRS Journal of Photogrammetry and Remote Sensing

MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types

artículo científico publicado en 2017

Mapping Irrigated Areas Using MODIS 250 Meter Time-Series Data: A Study on Krishna River Basin (India)

Mapping Irrigated Areas of Ghana Using Fusion of 30 m and 250 m Resolution Remote-Sensing Data

scholarly article by Murali Krishna Gumma et al published 15 April 2011 in Remote Sensing

Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform

scientific article published in 2023

Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system

scholarly article by Murali Krishna Gumma et al published 6 June 2018 in GIScience & remote sensing

Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine

artículo científico publicado en 2020

Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data

article

Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500m data for the year 2010

article by Murali Krishna Gumma et al published May 2014 in ISPRS Journal of Photogrammetry and Remote Sensing

Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security

artículo científico publicado en 2022

Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine

scholarly article by Jun Xiong et al published 19 October 2017 in Remote Sensing

Remote Sensing 10th Anniversary Best Paper Award

artículo científico publicado en 2019

Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling

artículo científico publicado en 2007

Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm

artículo científico publicado en 2014

Selection of Hyperspectral Narrowbands (HNBs) and Composition of Hyperspectral Twoband Vegetation Indices (HVIs) for Biophysical Characterization and Discrimination of Crop Types Using Field Reflectance and Hyperion/EO-1 Data

article

Semi‐automated methods for mapping wetlands using Landsat ETM+ and SRTM data

artículo científico publicado en 2008

Spatial models for selecting the most suitable areas of rice cultivation in the Inland Valley Wetlands of Ghana using remote sensing and geographic information systems

scholarly article by Prasad S. Thenkabail published 1 June 2009 in Journal of Applied Remote Sensing

Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data

article

Water Productivity Mapping (WPM) Using Landsat ETM+ Data for the Irrigated Croplands of the Syrdarya River Basin in Central Asia.

artículo científico publicado en 2008

Lista de obras de Prasad Thenkabail

A Bibliometric Profile of the Remote Sensing Open Access Journal Published by MDPI between 2009 and 2018

A History Of Irrigated Areas Of The World

A Holistic View of Global Croplands and Their Water Use for Ensuring Global Food Security in the 21st Century through Advanced Remote Sensing and Non-remote Sensing Approaches

A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing

A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades

A sweet deal? Sugarcane, water and agricultural transformation in Sub-Saharan Africa

Accuracies Achieved in Classifying Five Leading World Crop Types and their Growth Stages Using Optimal Earth Observing-1 Hyperion Hyperspectral Narrowbands on Google Earth Engine

Advances in Hyperspectral Remote Sensing of Vegetation and Agricultural Croplands

Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud

Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India)

Classifying Crop Types Using Two Generations of Hyperspectral Sensors (Hyperion and DESIS) with Machine Learning on the Cloud

Context, Need

Decadal Variations in NDVI and Food Production in India

Detecting floristic structure and pattern across topographic and moisture gradients in a mixed species Central African forest using IKONOS and Landsat-7 ETM+ images

Free Access to Landsat Imagery

Global Irrigated Area Maps (GIAM) and Statistics Using Remote Sensing

Global Map of Rainfed Cropland Areas (GMRCA) and Statistics Using Remote Sensing

Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on Google Earth Engine cloud

Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download Analysis

Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium

Hyperspectral Remote Sensing of Vegetation and Agricultural Crops

Hyperspectral remote sensing of vegetation

Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission

International Water Management Institute's Data Storehouse Pathway (IWMIDSP): a unique data and knowledge gateway of spatial data with emphasis on river basins

Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics

Irrigated Areas of India Derived from Satellite Sensors and National Statistics

Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India

Irrigated areas of India derived using MODIS 500 m time series for the years 2001–2003

MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types

Mapping Irrigated Areas Using MODIS 250 Meter Time-Series Data: A Study on Krishna River Basin (India)

Mapping Irrigated Areas of Ghana Using Fusion of 30 m and 250 m Resolution Remote-Sensing Data

Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform

Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system

Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine

Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data

Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500m data for the year 2010

Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security

Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine

Remote Sensing 10th Anniversary Best Paper Award

Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling

Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm

Selection of Hyperspectral Narrowbands (HNBs) and Composition of Hyperspectral Twoband Vegetation Indices (HVIs) for Biophysical Characterization and Discrimination of Crop Types Using Field Reflectance and Hyperion/EO-1 Data

Semi‐automated methods for mapping wetlands using Landsat ETM+ and SRTM data

Spatial models for selecting the most suitable areas of rice cultivation in the Inland Valley Wetlands of Ghana using remote sensing and geographic information systems

Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data

Water Productivity Mapping (WPM) Using Landsat ETM+ Data for the Irrigated Croplands of the Syrdarya River Basin in Central Asia.

Water productivity mapping using remote sensing data of various resolutions to support "more crop per drop"