Distinguishing blueberry bushes from mixed vegetation land use using high resolution satellite imagery and geospatial techniques
Authors:
- Sudhanshu S. PandaSPSudhanshu S. Panda
- Gerrit HoogenboomGHGerrit Hoogenboom
- Joel PazJPJoel Paz
- 1 June 2009
- journal article
- Published by Elsevier in Computers and Electronics in Agriculture
- Vol. 67 (1-2) , 51-58
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- BRDF measurement of understory vegetation in pine forests: dwarf shrubs, lichen, and mossRemote Sensing of Environment, 2005
- Delineation of forest/nonforest land use classes using nearest neighbor methodsRemote Sensing of Environment, 2004
- Classification of Crop Yield Variability in Irrigated Production FieldsAgronomy Journal, 2003
- Estimation and mapping of forest stand density, volume, and cover type using the k-nearest neighbors methodRemote Sensing of Environment, 2001
- Data clusteringACM Computing Surveys, 1999
- Satellite remote sensing for forestry planning—A reviewScandinavian Journal of Forest Research, 1998
- Monitoring rice reflectance at field level for estimating biomass and LAIField Crops Research, 1998
- A review of assessing the accuracy of classifications of remotely sensed dataRemote Sensing of Environment, 1991
- Monitoring land-cover change by principal component analysis of multitemporal landsat dataRemote Sensing of Environment, 1980
- A Coefficient of Agreement for Nominal ScalesEducational and Psychological Measurement, 1960