reviewTop 10% cited
A review of assessing the accuracy of classifications of remotely sensed data
Remote Sensing of Environment · 1991 · Vol. 37(1) · pp. 35–46
Russell G. Congalton✉(University of California, Berkeley)
Soil Geostatistics and MappingAdvanced Statistical Methods and ModelsRemote sensingContingency tableComputer scienceSpatial analysisData miningSampling (signal processing)Table (database)Sample (material)Machine learningGeography
Citations
7,533
FWCI
11.23
field-weighted impact
References
28
Percentile
99%
vs. same field & year
Citations per year
Cited by
Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology
Remote Sensing · 2013 · 503 citations
Detecting salinity hazards within a semiarid context by means of combining soil and remote-sensing data
Geoderma · 2006 · 546 citations
On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping
Remote Sensing · 2015 · 584 citations
Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices
IEEE Transactions on Geoscience and Remote Sensing · 1999 · 1,219 citations
Impacts of Land Use on Surface Water Quality in a Subtropical River Basin: A Case Study of the Dongjiang River Basin, Southeastern China
Water · 2015 · 207 citations
Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment
International Journal of Remote Sensing · 2011 · 1,955 citations
Fire severity assessment by using NBR (Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) derived from LANDSAT TM/ETM images
International Journal of Remote Sensing · 2007 · 539 citations
Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review
Remote Sensing · 2020 · 417 citations
References
Discrete Multivariate Analysis: Theory and Practice.
Contemporary Sociology A Journal of Reviews · 1975 · 5,162 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
