Mapping fallow fields using Sentinel-1 and Sentinel-2 archives over farming-pastoral ecotone of Northern China with Google Earth Engine

Greening trends and their relationship with agricultural land abandonment across Poland

(2021) Natalia Kolecka   REMOTE SENSING OF ENVIRONMENT

Satellite-based observations of the green depressing cropping system in a farming-pastoral ecotone of northern China

(2021) Xin Chen et al.   International Journal of Applied Earth Observation and Geoinformation

A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery

(2021) G. D’Amico et al.   GIScience & Remote Sensing

Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine

(2020) Nanshan You et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Analyzing multi-year rice-fallow dynamics in Odisha using multi-temporal Landsat-8 OLI and Sentinel-1 Data

(2020) Parvesh Kumar Chandna et al.   GIScience & Remote Sensing

Monitoring cropland abandonment with Landsat time series

(2020) He Yin et al.   REMOTE SENSING OF ENVIRONMENT

Continuous Monitoring of Urban Land Cover Change Trajectories with Landsat Time Series and LandTrendr-Google Earth Engine Cloud Computing

(2020) Theodomir Mugiraneza et al.   Remote Sensing

Multi-Temporal SAR Data Large-Scale Crop Mapping Based on U-Net Model

(2019) Sisi Wei et al.   Remote Sensing

Assessment of the X- and C-Band Polarimetric SAR Data for Plastic-Mulched Farmland Classification

(2019) Chang-An Liu et al.   Remote Sensing

Exploring the Potential of Mapping Cropping Patterns on Smallholder Scale Croplands Using Sentinel-1 SAR Data

(2019) Juliana Useya et al.   Chinese Geographical Science

Multi-Temporal Dual- and Quad-Polarimetric Synthetic Aperture Radar Data for Crop-Type Mapping

(2019) Rubén Valcarce-Diñeiro et al.   Remote Sensing

Capability of Sentinel-2 MSI data for monitoring and mapping of soil salinity in dry and wet seasons in the Ebinur Lake region, Xinjiang, China

(2019) Jingzhe Wang et al.   GEODERMA

The Challenge of Feeding the World

(2019) Dániel Fróna et al.   Sustainability

The forgotten land use class: Mapping of fallow fields across the Sahel using Sentinel-2

(2019) Xiaoye Tong et al.   REMOTE SENSING OF ENVIRONMENT

Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands, South Africa

(2019) Bart Slagter et al.   International Journal of Applied Earth Observation and Geoinformation

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

Crop Classification Based on Differential Characteristics of H/α Scattering Parameters for Multitemporal Quad- and Dual-Polarization SAR Images

(2018) Jiao Guo et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Retrieving surface soil moisture at high spatio-temporal resolution from a synergy between Sentinel-1 radar and Landsat thermal data: A study case over bare soil

(2018) Abdelhakim Amazirh et al.   REMOTE SENSING OF ENVIRONMENT

Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs

(2018) He Yin et al.   REMOTE SENSING OF ENVIRONMENT

Mapping the timing of cropland abandonment and recultivation in northern Kazakhstan using annual Landsat time series

(2018) Andrey Dara et al.   REMOTE SENSING OF ENVIRONMENT

Mapping agricultural land abandonment from spatial and temporal segmentation of Landsat time series

(2018) He Yin et al.   REMOTE SENSING OF ENVIRONMENT

Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis

(2018) Mariana Belgiu et al.   REMOTE SENSING OF ENVIRONMENT

Analysis of spatiotemporal land cover changes in Inner Mongolia using self-organizing map neural network and grid cells method

(2018) Zhaoling Li et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Spatial variation in determinants of agricultural land abandonment in Europe

(2018) Christian Levers et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series

(2018) Fabian Löw et al.   Remote Sensing

Remote Sensing and Cropping Practices: A Review

(2018) Agnès Bégué et al.   Remote Sensing

Combining Sentinel-1 and Sentinel-2 data for improved land use and land cover mapping of monsoon regions

(2018) Max J. Steinhausen et al.   International Journal of Applied Earth Observation and Geoinformation

Potential of Red Edge Spectral Bands in Future Landsat Satellites on Agroecosystem Canopy Green Leaf Area Index Retrieval

(2018) Zhaoyu Cui et al.   Remote Sensing

Irrigation Mapping Using Sentinel-1 Time Series at Field Scale

(2018) Qi Gao et al.   Remote Sensing

Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium

(2018) Kristof Van Tricht et al.   Remote Sensing

Sentinel-2 Based Temporal Detection of Agricultural Land Use Anomalies in Support of Common Agricultural Policy Monitoring

(2018) Urška Kanjir et al.   ISPRS International Journal of Geo-Information

The temporal evolution of soil erosion for corn and fallow hillslopes in the typical Mollisol region of Northeast China

(2018) Haiou Shen et al.   SOIL & TILLAGE RESEARCH

Global understanding of farmland abandonment: A review and prospects

(2017) Shengfa Li et al.   Journal of Geographical Sciences

Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications

(2017) Amanda Veloso et al.   REMOTE SENSING OF ENVIRONMENT

Revisiting the coupling between NDVI trends and cropland changes in the Sahel drylands: A case study in western Niger

(2017) Xiaoye Tong et al.   REMOTE SENSING OF ENVIRONMENT

Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution

(2017) Qi Gao et al.   SENSORS

Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas

(2017) Mohammad El Hajj et al.   Remote Sensing

Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

(2016) Jinwei Dong et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring Plastic-Mulched Farmland by Landsat-8 OLI Imagery Using Spectral and Textural Features

(2016) Hasituya et al.   Remote Sensing

Spatially differentiated trends in urbanization, agricultural land abandonment and reclamation, and woodland recovery in Northern China

(2016) Chao Wang et al.   Scientific Reports

Mapping farmland abandonment and recultivation across Europe using MODIS NDVI time series

(2015) Stephan Estel et al.   REMOTE SENSING OF ENVIRONMENT

Farmers' initiative on adaptation to climate change in the Northern Agro-pastoral Ecotone

(2015) Sheng Li et al.   International Journal of Disaster Risk Reduction

Mapping the extent of abandoned farmland in Central and Eastern Europe using MODIS time series satellite data

(2013) Camilo Alcantara et al.   Environmental Research Letters

The effect of Landsat ETM/ETM+ image acquisition dates on the detection of agricultural land abandonment in Eastern Europe

(2012) Alexander V. Prishchepov et al.   REMOTE SENSING OF ENVIRONMENT

Mapping abandoned agriculture with multi-temporal MODIS satellite data

(2012) Camilo Alcantara et al.   REMOTE SENSING OF ENVIRONMENT

Four-Component Scattering Power Decomposition Algorithm with Rotation of Covariance Matrix Using ALOS-PALSAR Polarimetric Data

(2012) Mitsunobu Sugimoto et al.   Remote Sensing

Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms

(2010) Robert E. Kennedy et al.   REMOTE SENSING OF ENVIRONMENT

Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation

(2010) Warren B. Cohen et al.   REMOTE SENSING OF ENVIRONMENT

Global Patterns of Cropland Use Intensity

(2010) Stefan Siebert et al.   Remote Sensing