Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

Remote Sensing of Environment, Journal Year: 2012, Volume and Issue: 120, P. 25 - 36

Published: Feb. 29, 2012

Language: Английский

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Global land cover mapping at 30m resolution: A POK-based operational approach

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2014, Volume and Issue: 103, P. 7 - 27

Published: Oct. 19, 2014

Global Land Cover (GLC) information is fundamental for environmental change studies, land resource management, sustainable development, and many other societal benefits. Although GLC data exists at spatial resolutions of 300 m 1000 m, a 30 resolution mapping approach now feasible option the next generation products. Since most significant human impacts on system can be captured this scale, number researchers are focusing such This paper reports operational used in project, which aims to deliver reliable Over 10,000 Landsat-like satellite images required cover entire Earth resolution. To derive map from large volume necessitates development effective, efficient, economic approaches. Automated approaches usually provide higher efficiency thus more solutions, yet existing automated classification has been deemed ineffective because low accuracy achievable (typically below 65%) global scale As result, an based integration pixel- object-based methods with knowledge (POK-based) developed. handle process 10 types, split-and-merge strategy was employed, i.e. firstly each class identified prioritized sequence then results merged together. For identification class, robust pixel-and improve quality results, knowledge-based interactive verification procedure developed support web service technology. The performance POK-based tested using eight selected areas differing landscapes five different continents. An overall over 80% achieved. indicates that effective

Language: Английский

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Detecting trend and seasonal changes in satellite image time series

Remote Sensing of Environment, Journal Year: 2009, Volume and Issue: 114(1), P. 106 - 115

Published: Oct. 2, 2009

Language: Английский

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

Remote Sensing of Environment, Journal Year: 2010, Volume and Issue: 114(12), P. 2897 - 2910

Published: Sept. 11, 2010

Language: Английский

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Change detection from remotely sensed images: From pixel-based to object-based approaches

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2013, Volume and Issue: 80, P. 91 - 106

Published: April 19, 2013

Language: Английский

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Optical remotely sensed time series data for land cover classification: A review

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2016, Volume and Issue: 116, P. 55 - 72

Published: March 23, 2016

Accurate land cover information is required for science, monitoring, and reporting. Land changes naturally over time, as well a result of anthropogenic activities. Monitoring mapping change in consistent robust manner large areas made possible with Earth Observation (EO) data. products satisfying range science policy needs are currently produced periodically at different spatial temporal scales. The increased availability EO data—particularly from the Landsat archive (and soon to be augmented Sentinel-2 data)—coupled improved computing storage capacity novel image compositing approaches, have resulted annual, large-area, gap-free, surface reflectance data products. In turn, these support development annual that can both informed constrained by detection outputs. inclusion time series process provides on class stability informs logical transitions (both temporally categorically). this review, we present issues opportunities associated generating validating time-series products, identify methods suited incorporating other inputs characterization.

Language: Английский

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Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization

Applied Geography, Journal Year: 2009, Volume and Issue: 29(3), P. 390 - 401

Published: Feb. 1, 2009

Language: Английский

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An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks

Remote Sensing of Environment, Journal Year: 2009, Volume and Issue: 114(1), P. 183 - 198

Published: Oct. 9, 2009

Language: Английский

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Land-cover change detection using multi-temporal MODIS NDVI data

Remote Sensing of Environment, Journal Year: 2006, Volume and Issue: 105(2), P. 142 - 154

Published: Sept. 23, 2006

Language: Английский

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Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India

The Egyptian Journal of Remote Sensing and Space Science, Journal Year: 2015, Volume and Issue: 18(1), P. 77 - 84

Published: March 14, 2015

Digital change detection techniques by using multi-temporal satellite imagery helps in understanding landscape dynamics. The present study illustrates the spatio-temporal dynamics of land use/cover Hawalbagh block district Almora, Uttarakhand, India. Landsat imageries two different time periods, i.e., Thematic Mapper (TM) 1990 and 2010 were acquired Global Land Cover Facility Site (GLCF) earth explorer site quantify changes from to over a period 20 years. Supervised classification methodology has been employed maximum likelihood technique ERDAS 9.3 Software. images area categorized into five classes namely vegetation, agriculture, barren, built-up water body. results indicate that during last decades, vegetation have increased 3.51% (9.39 km2) 3.55% (9.48 while barren body decreased 1.52% (4.06 km2), 5.46% (14.59 0.08% (0.22 respectively. paper highlights importance digital for nature location block.

Language: Английский

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