Using Multi-Resolution Satellite Data to Quantify Land Dynamics: Applications of PlanetScope Imagery for Cropland and Tree-Cover Loss Area Estimation

Near-real time forest change detection using PlanetScope imagery

(2020) Saverio Francini et al.   European Journal of Remote Sensing

Ongoing primary forest loss in Brazil, Democratic Republic of the Congo, and Indonesia

(2018) Svetlana Turubanova et al.   Environmental Research Letters

Evaluating Landsat and RapidEye Data for Winter Wheat Mapping and Area Estimation in Punjab, Pakistan

(2018) Ahmad Khan et al.   Remote Sensing

Near doubling of Brazil’s intensive row crop area since 2000

(2018) Viviana Zalles et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Congo Basin forest loss dominated by increasing smallholder clearing

(2018) Alexandra Tyukavina et al.   Science Advances

Quantifying the trade-off between cost and precision in estimating area of forest loss and degradation using probability sampling in Guyana

(2018) Jeffrey Pickering et al.   REMOTE SENSING OF ENVIRONMENT

Comprehensive monitoring of Bangladesh tree cover inside and outside of forests, 2000–2014

(2017) P Potapov et al.   Environmental Research Letters

A multi-resolution approach to national-scale cultivated area estimation of soybean

(2017) LeeAnn King et al.   REMOTE SENSING OF ENVIRONMENT

National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey

(2017) Xiao-Peng Song et al.   REMOTE SENSING OF ENVIRONMENT

Landsat-based wheat mapping in the heterogeneous cropping system of Punjab, Pakistan

(2016) Ahmad Khan et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Forest cover dynamics of shifting cultivation in the Democratic Republic of Congo: a remote sensing-based assessment for 2000–2010

(2015) G Molinario et al.   Environmental Research Letters

Good practices for estimating area and assessing accuracy of land change

(2014) Pontus Olofsson et al.   REMOTE SENSING OF ENVIRONMENT

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

(2013) M. C. Hansen et al.   SCIENCE

Effects of systematic sampling on satellite estimates of deforestation rates

(2009) M K Steininger et al.   Environmental Research Letters

Sampling designs for accuracy assessment of land cover

(2009) Stephen V. Stehman   INTERNATIONAL JOURNAL OF REMOTE SENSING

A comparison of sampling designs for estimating deforestation from Landsat imagery: A case study of the Brazilian Legal Amazon

(2009) Mark Broich et al.   REMOTE SENSING OF ENVIRONMENT