High Spatial Resolution Visual Band Imagery Outperforms Medium Resolution Spectral Imagery for Ecosystem Assessment in the Semi-Arid Brazilian Sertão

Google Earth Engine: Planetary-scale geospatial analysis for everyone

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

The extent of forest in dryland biomes

(2017) Jean-François Bastin et al.   SCIENCE

Evaluation of Remote Sensing Inversion Error for the Above-Ground Biomass of Alpine Meadow Grassland Based on Multi-Source Satellite Data

(2017) Baoping Meng et al.   Remote Sensing

Mapping Urban Bare Land Automatically from Landsat Imagery with a Simple Index

(2017) Hui Li et al.   Remote Sensing

Sensitivity of global terrestrial ecosystems to climate variability

(2016) Alistair W. R. Seddon et al.   NATURE

Combining satellite imagery and machine learning to predict poverty

(2016) N. Jean et al.   SCIENCE

Detecting the Boundaries of Urban Areas in India: A Dataset for Pixel-Based Image Classification in Google Earth Engine

(2016) Ran Goldblatt et al.   Remote Sensing

Mapping Complex Urban Land Cover from Spaceborne Imagery: The Influence of Spatial Resolution, Spectral Band Set and Classification Approach

(2016) Rahman Momeni et al.   Remote Sensing

Scaling up to National/Regional Urban Extent Mapping Using Landsat Data

(2015) Giovanna Trianni et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Multitemporal settlement and population mapping from Landsat using Google Earth Engine

(2015) Nirav N. Patel et al.   International Journal of Applied Earth Observation and Geoinformation

Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features

(2015) Peijun Du et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink

(2015) A. Ahlstrom et al.   SCIENCE

Accelerated dryland expansion under climate change

(2015) Jianping Huang et al.   Nature Climate Change

Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data

(2015) Forrest R. Stevens et al.   PLoS One

Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle

(2014) Benjamin Poulter et al.   NATURE

Cracking Brazil's Forest Code

(2014) B. Soares-Filho et al.   SCIENCE

The Spectral Response of the Landsat-8 Operational Land Imager

(2014) Julia Barsi et al.   Remote Sensing

Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests

(2013) Haiyan Guan et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Land Cover Classification in a Complex Urban-Rural Landscape with QuickBird Imagery

(2013) Dengsheng Lu et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

High-Resolution Global Maps of 21st-Century Forest Cover Change

(2013) M. C. Hansen et al.   SCIENCE

Validation of soft classification models using partial class memberships: An extended concept of sensitivity & co. applied to grading of astrocytoma tissues

(2012) Claudia Beleites et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Greenness in semi-arid areas across the globe 1981–2007 — an Earth Observing Satellite based analysis of trends and drivers

(2012) Rasmus Fensholt et al.   REMOTE SENSING OF ENVIRONMENT

Comparing object-based and pixel-based classifications for mapping savannas

(2011) Timothy G. Whiteside et al.   International Journal of Applied Earth Observation and Geoinformation

Comparison of pixel- and object-based classification in land cover change mapping

(2011) Laura Dingle Robertson 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

Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery

(2011) Soe W. Myint et al.   REMOTE SENSING OF ENVIRONMENT

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

Improving the normalized difference built-up index to map urban built-up areas using a semiautomatic segmentation approach

(2011) Chunyang He et al.   Remote Sensing Letters

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

(2009) J.D. Rodriguez et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE