Cited by Spatial analysis of remote sensing image classification accuracy

Good practices for estimating area and assessing accuracy of land change DOI

Pontus Olofsson, Giles M. Foody, Martin Herold

et al.

Remote Sensing of Environment, Journal Year: 2014, Volume and Issue: 148, P. 42 - 57

Published: April 12, 2014

Language: Английский

Citations

2408

A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects DOI

Xiaoping Liu,

Xun Liang, Xia Li

et al.

Landscape and Urban Planning, Journal Year: 2017, Volume and Issue: 168, P. 94 - 116

Published: Oct. 23, 2017

Language: Английский

Citations

1392

Characterising performance of environmental models DOI

Neil Bennett,

Barry Croke, Giorgio Guariso

et al.

Environmental Modelling & Software, Journal Year: 2012, Volume and Issue: 40, P. 1 - 20

Published: Nov. 6, 2012

Language: Английский

Citations

1373

Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation DOI

Pontus Olofsson, Giles M. Foody, Stephen V. Stehman

et al.

Remote Sensing of Environment, Journal Year: 2012, Volume and Issue: 129, P. 122 - 131

Published: Nov. 29, 2012

Language: Английский

Citations

911

Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion DOI

Jamal Jokar Arsanjani, Marco Helbich, Wolfgang Kainz

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2012, Volume and Issue: 21, P. 265 - 275

Published: Jan. 28, 2012

Language: Английский

Citations

709

A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring DOI

Neha Joshi, Matthias Baumann,

Andrea Ehammer

et al.

Remote Sensing, Journal Year: 2016, Volume and Issue: 8(1), P. 70 - 70

Published: Jan. 16, 2016

The wealth of complementary data available from remote sensing missions can hugely aid efforts towards accurately determining land use and quantifying subtle changes in management or intensity. This study reviewed 112 studies on fusing optical radar data, which offer unique spectral structural information, for cover assessments. Contrary to our expectations, only 50 specifically addressed use, five assessed changes, while the majority cover. advantages fusion analysis were 32 studies, a large (28 studies) concluded that improved results compared using single sources. Study sites small, frequently 300–3000 km 2 individual plots, with lack comparison accuracies across sites. Although variety techniques used, pre-classification followed by pixel-level inputs traditional classification algorithms (e.g., Gaussian maximum likelihood classification) was common, but often without concrete rationale applicability method theme being studied. Progress this field research requires development robust map intricacies uses therein systematic procedures assess benefits over larger spatial scales.

Language: Английский

Citations

582

High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform DOI

Xiaoping Liu,

Guohua Hu, Yimin Chen

et al.

Remote Sensing of Environment, Journal Year: 2018, Volume and Issue: 209, P. 227 - 239

Published: March 19, 2018

Language: Английский

Citations

563

Mapping global cropland and field size DOI

Steffen Fritz,

Linda See, Ian McCallum

et al.

Global Change Biology, Journal Year: 2015, Volume and Issue: 21(5), P. 1980 - 1992

Published: Jan. 16, 2015

Abstract A new 1 km global IIASA ‐ IFPRI cropland percentage map for the baseline year 2005 has been developed which integrates a number of individual maps at to regional national scales. The products include existing land cover such as GlobCover and MODIS v.5, AFRICOVER from mapping agencies other organizations. different are ranked level using crowdsourced data Geo‐Wiki create that reflects likelihood cropland. Calibration with subnational crop statistics was then undertaken distribute within each country unit. product validated very high‐resolution satellite imagery via an overall accuracy 82.4%. It also compared EarthStat shows lower root mean square error on independent set collected Geo‐Wiki. first ever field size produced same resolution based interpolation crowdsourcing campaign. validation exercise revealed satisfactory agreement control data, particularly given relatively modest used map. Both critical inputs agricultural monitoring in frame GEOGLAM will serve modelling integrated assessment community, particular improving use models require information. These freely available downloading http://cropland.geo-wiki.org website.

Language: Английский

Citations

516

Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA DOI

Marwa Waseem A. Halmy, Paul E. Gessler, Jeffrey A. Hicke

et al.

Applied Geography, Journal Year: 2015, Volume and Issue: 63, P. 101 - 112

Published: July 4, 2015

Language: Английский

Citations

504

Key issues in rigorous accuracy assessment of land cover products DOI

Stephen V. Stehman, Giles M. Foody

Remote Sensing of Environment, Journal Year: 2019, Volume and Issue: 231, P. 111199 - 111199

Published: June 12, 2019

Language: Английский

Citations

480