Soil phosphorus and nitrogen predictions across spatial escalating scales in an aquatic ecosystem using remote sensing images

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 10, 2014, Pages 6724-6737

  Kim, Jongsung ^a   Grunwald, Sabine ^a   Rivero, Rosanna G ^b  

^a UNIVERSITY OF FLORIDA   (United States)

^b UNIVERSITY OF GEORGIA   (United States)

Author keywords

Digital soil model; Entropy; Random forest (RF); Remote sensing (RS); Spatial resolution; Wetland

Indexed keywords

AQUATIC ECOSYSTEMS; DECISION TREES; ENTROPY; FORECASTING; IMAGE RECONSTRUCTION; MATHEMATICAL MODELS; MEAN SQUARE ERROR; RADIOMETERS; REMOTE SENSING; WATER CONSERVATION; WETLANDS;

DIFFERENT RESOLUTIONS; MULTI-RESOLUTION IMAGERY; PREDICTIVE CAPABILITIES; RANDOM FORESTS; REMOTE SENSING IMAGES; ROOT MEAN SQUARE ERRORS; SOIL MODEL; SPATIAL RESOLUTION;

SOILS;

AQUATIC ECOSYSTEM; ENTROPY; NUMERICAL MODEL; PHOSPHORUS; PREDICTION; REMOTE SENSING; SATELLITE DATA; SOIL NITROGEN; SPATIAL RESOLUTION; TOPOGRAPHY; WETLAND;

EVERGLADES; FLORIDA [UNITED STATES]; UNITED STATES;

EID: 84901825901     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2301443     Document Type: Article

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