DatasetLand cover ground reference data in São Paulo state, Brazil, taken in 2015

?titleLand cover ground reference data in São Paulo state, Brazil, taken in 2015
?creatororcidMolijn, R.A. (Ramses)
?contributorBE-Basic FAPESP project: 2013/50943-9
?contributorDantas Araujo Figueiredo, G.K. (Gleyce Kelly)
?contributororcidHanssen, R.F. (Ramon)
?contributorIannini, L. (Lorenzo)
?contributorLamparelli, R. (Rubens)
?contributorMousivand, A. (Ali)
?contributorSickens de Wal, W. (Wendy)
?contributorTabak, A. (Arjan)
?contributorTU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing
?contributorWachholz de Souza, C.H. (Carlos Henrique)
?date accepted2016-02-11
?date created2015-05 through 2015-11
?date published2015
?description
Land cover reference data containing original point layer, relocated point layer to the fields and field polygons. Information includes date of acquisition, geolocation, photograph web address, crop type, phenological stage, crop height, additional notes of field. The objective was to collect data for training and validation of optical and radar remote sensing-based land cover monitoring models. The ground reference data was acquired through the freely available mobile app EpiCollect, developed at Imperial College London. The work has been carried out within the framework of the joint BE-Basic FAPESP project: 2013/50943-9
?languageen
?publisherTU Delft
?subjectAgriculture ● Crops ● Ground reference data ● Ground training data ● Ground truth data ● Ground validation data ● Land cover monitoring ● Phenological states ● Remote sensing ● Sugarcane
? ▲ in collection
?spatial coverage
?map-logomapMap [kml]
?time coverage
?related publicationnew windowepicollectserver.appspot.com/project.html?name=LULC
?related publicationnew windowepicollectserver.appspot.com/project.html?name=LULC_Mogi
?related publicationnew windowplus.epicollect.net/LULC_TUDelft/LULC
DATA
readme.docx - dataset documentation (application/vnd.openxmlformats-officedocument.wordprocessingml.document)
+bag-info
+contents of this dataset, 258 files
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