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

Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud

(2019) Adam J. Oliphant et al.   International Journal of Applied Earth Observation and Geoinformation

Satellite view of seasonal greenness trends and controls in South Asia

(2018) Sangeeta Sarmah et al.   Environmental Research Letters

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

(2018) Murali Krishna Gumma et al.   GIScience & Remote Sensing

Effect of classifier selection, reference sample size, reference class distribution and scene heterogeneity in per-pixel classification accuracy using 26 Landsat sites

(2018) Shahriar S. Heydari et al.   REMOTE SENSING OF ENVIRONMENT

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

(2018) Pardhasaradhi Teluguntla et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Smoothing and gap-filling of high resolution multi-spectral time series: Example of Landsat data

(2017) Francesco Vuolo et al.   International Journal of Applied Earth Observation and Geoinformation

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

(2017) Pardhasaradhi Teluguntla et al.   International Journal of Digital Earth

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

(2017) Jun Xiong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Obtaining rubber plantation age information from very dense Landsat TM & ETM + time series data and pixel-based image compositing

(2017) Philip Beckschäfer   REMOTE SENSING OF ENVIRONMENT

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

(2017) Jun Xiong et al.   Remote Sensing

Autumn olive (Elaeagnus umbellata) presence and proliferation on former surface coal mines in Eastern USA

(2016) Adam J. Oliphant et al.   BIOLOGICAL INVASIONS

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

(2016) Murali Krishna Gumma et al.   International Journal of Digital Earth

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Machine learning in geosciences and remote sensing

(2016) David J. Lary et al.   Geoscience Frontiers

New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities

(2015) P.S. Roy et al.   International Journal of Applied Earth Observation and Geoinformation

Global rain-fed, irrigated, and paddy croplands: A new high resolution map derived from remote sensing, crop inventories and climate data

(2015) J.Meghan Salmon et al.   International Journal of Applied Earth Observation and Geoinformation

Automated annual cropland mapping using knowledge-based temporal features

(2015) François Waldner et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images

(2015) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms

(2015) Jinwei Dong et al.   REMOTE SENSING OF ENVIRONMENT

Mapping Asian Cropping Intensity With MODIS

(2014) Josh Gray et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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

(2014) Murali Krishna Gumma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Automated Training Sample Extraction for Global Land Cover Mapping

(2014) Julien Radoux et al.   Remote Sensing

Fitting the Multitemporal Curve: A Fourier Series Approach to the Missing Data Problem in Remote Sensing Analysis

(2012) Evan B. Brooks et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by Combining Landsat, MODIS, and Secondary Data

(2012) Prasad S. Thenkabail et al.   Remote Sensing

Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam, through hyper-temporal SPOT NDVI image analysis

(2011) Thi Thu Ha Nguyen et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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)

(2011) Murali Krishna Gumma et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping rice areas of South Asia using MODIS multitemporal data

(2011) Murali Krishna Gumma   Journal of Applied Remote Sensing

A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

(2011) Dennis C. Duro et al.   REMOTE SENSING OF ENVIRONMENT

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

(2011) Murali Krishna Gumma et al.   Remote Sensing

MIRCA2000-Global monthly irrigated and rainfed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling

(2010) Felix T. Portmann et al.   GLOBAL BIOGEOCHEMICAL CYCLES

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

(2010) Prasad Thenkabail et al.   Remote Sensing

Estimating Global Cropland Extent with Multi-year MODIS Data

(2010) Kyle Pittman et al.   Remote Sensing

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

(2009) Chandrashekhar M. Biradar et al.   International Journal of Applied Earth Observation and Geoinformation

Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms

(2009) J.R. Otukei et al.   International Journal of Applied Earth Observation and Geoinformation

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

(2009) Prasad S. Thenkabail et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

(2009) V. Dheeravath et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

(2009) Prasad Thenkabail et al.   Remote Sensing

Identifying and quantifying uncertainty and spatial disagreement in the comparison of Global Land Cover for different applications

(2008) STEFFEN FRITZ et al.   GLOBAL CHANGE BIOLOGY

Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets

(2008) M. Herold et al.   REMOTE SENSING OF ENVIRONMENT