About: Land cover data from Landsat single-date imagery: an approach integrating pixel-based and object-based classifiers

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article by Tommaso Ceccarelli et al published January 2013 in European Journal of Remote Sensing

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rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в січні 2013 (uk) article scientifique publié en 2013 (fr) article by Tommaso Ceccarelli et al published January 2013 in European Journal of Remote Sensing (en)
publication date	wds:Q57652128-B7DBF007-5696-4D35-8D55-07CA40688095
publication date	2013-01-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q57652128-015A79C1-671C-4318-8605-06FD9063A67A wds:Q57652128-0A2B7D06-1852-43A3-869E-C8FF70D04453 wds:Q57652128-1BD19FC7-CC4E-4F41-820C-12A27C64937A wds:Q57652128-24EC96C2-9955-4C74-8190-6DDB94E9FB8E wds:Q57652128-3ED61C11-389D-4DF2-A82E-F5F702F03228 wds:Q57652128-40710362-E6FB-40A9-B676-37DEFE070E50 wds:Q57652128-429889AF-CAC2-454E-A1AA-5D88598E9CE1 wds:Q57652128-52853A7E-89C6-4BE2-83F9-F4315CAC1CC8 wds:Q57652128-56E11D2C-ACDB-4392-BFA3-187A37DF80A4 wds:Q57652128-5A80165F-89C1-458A-903A-EC34BD754455 wds:Q57652128-79044C45-FFB4-474B-88B8-F79EF8016120 wds:Q57652128-89C1B779-C6C3-4300-95DB-C67E25589262 wds:Q57652128-9AEC9B05-7008-4152-82DA-A0CA51C7B1E6 wds:Q57652128-9D7E5416-7341-4AA4-9AB9-D50A51D75B29 wds:Q57652128-A00BD804-2BD7-443D-8F6B-8A00BA1ED6E8 wds:Q57652128-A3C145D3-5231-44F8-A07E-3A51E22451B2 wds:Q57652128-A83AD69B-94DA-4BA6-B9CC-7EA423AB7113 wds:Q57652128-B00EC61F-9556-496C-9205-FA7F2DFA7E57 wds:Q57652128-DA185740-8544-4491-8B22-C676E6987A8D wds:Q57652128-F8CA7754-52D0-42C2-BCCF-7FDB0E291F43
cites work	A survey of image classification methods and techniques for improving classification performance An automated object-based approach for the multiscale image segmentation of forest scenes Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS Monitoring vegetation phenology using MODIS Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI The emergence of land change science for global environmental change and sustainability Using the satellite-derived NDVI to assess ecological responses to environmental change Texture classification and segmentation using wavelet frames. Interpreting vegetation indices Can we measure terrestrial photosynthesis from space directly, using spectral reflectance and fluorescence? Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges Hybrid object-based approach for land use/land cover mapping using high spatial resolution imagery Satellite mapping of surface biophysical parameters at the biome scale over the North American grasslands Land use change and land degradation in southeastern Mediterranean Spain. The impact of land use/land cover changes on land degradation dynamics: a Mediterranean case study Remote Sensing Phenology Comparison of pixel‐based and object‐oriented image classification approaches—a case study in a coal fire area, Wuda, Inner Mongolia, China Characterizing the state and processes of change in a dynamic forest environment using hierarchical spatio-temporal segmentation Ecological classification of land and conservation of biodiversity at the national level: The case of Italy Late twentieth century land-cover change in the basin and range ecoregions of the United States
author name string	wds:Q57652128-0C707555-AF86-4E3B-BE33-09924BD70DDD wds:Q57652128-8132C5CB-56EF-43AC-A483-5193DEDEF691 wds:Q57652128-99A7CFEB-D9F9-41D5-A939-9813E1C298D9 wds:Q57652128-A8E00D57-88D4-4B8D-AEEA-6C80698A03E7 wds:Q57652128-AF720224-EED1-41CD-B5DF-CA8843BB5B98 wds:Q57652128-B4F2442B-D47E-4801-A8C3-28AF9863F31C
author name string	Antonella De Angelis Luigi Perini Sofia Bajocco Simone Rinaldo Daniela Smiraglia Tommaso Ceccarelli
rdfs:label	Land cover data from Landsat single-date imagery: an approach integrating pixel-based and object-based classifiers (en) Land cover data from Landsat single-date imagery: an approach integrating pixel-based and object-based classifiers (nl)
skos:prefLabel	Land cover data from Landsat single-date imagery: an approach integrating pixel-based and object-based classifiers (en) Land cover data from Landsat single-date imagery: an approach integrating pixel-based and object-based classifiers (nl)
name	Land cover data from Landsat single-date imagery: an approach integrating pixel-based and object-based classifiers (en) Land cover data from Landsat single-date imagery: an approach integrating pixel-based and object-based classifiers (nl)
author	wds:Q57652128-103DDE85-CE11-4FC9-9917-ACD1031414F7
author	Luca Salvati
title	wds:Q57652128-31837838-8F68-4B23-9E64-185EF491F275
title	Land cover data from Landsat single-date imagery: an approach integrating pixel-based and object-based classifiers (en)
page(s)	wds:Q57652128-E8CE9FDF-48F1-4057-93DE-E213DDF05AD3
page(s)	699-717
instance of	wds:Q57652128-78F8D3A8-EB85-4DFA-AEE5-06674D21DDB0
instance of	scholarly article
main subject	wds:Q57652128-AB0F72F8-18D1-45FD-B177-93DEE13FF4A4 wds:Q57652128-F0BF0CB0-8DED-41C6-91CB-F375F7FF8378
main subject	land cover remote sensing
published in	wds:Q57652128-36273C80-0CF6-4615-8281-BA655E289DC6
published in	European Journal of Remote Sensing
issue	wds:Q57652128-E7C5E15C-E8F0-46FE-9363-4CF49FCE8FC8
volume	wds:Q57652128-7637BBFE-B341-474D-A5D0-E98A616B28A4
issue	1
volume	46
DOI	wds:Q57652128-AB9C8AC9-3C78-4157-8667-0F65E3CCED50
DOI	http://dx.doi.org/10.5721/EUJRS20134641
DOI	10.5721/EUJRS20134641
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57652128
is cites work of	A cost-effective approach for improving the quality of soil sealing change detection from Landsat imagery
is cites work of	wds:Q57035510-C51F7D39-D08C-4AC7-9231-5ABB0A5613C5

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