Uncertainty Analysis of Spatial Autocorrelation of Land-Use and Land-Cover Data within Pipestem Creek in North Dakota
Open Access
- 1 January 2017
- journal article
- research article
- Published by Scientific Research Publishing, Inc. in Journal of Geoscience and Environment Protection
- Vol. 05 (08), 71-88
- https://doi.org/10.4236/gep.2017.58008
Abstract
A major threat to biodiversity in North Dakota is the conversion of forested land to cultivable land, especially those that act as riparian buffers. To reverse this trend of transformation, a validation and prediction model is necessary to assess the change. Spatial prediction within a Geographic Information System (GIS) using Kriging is a popular stochastic method. The objective of this study was to predict spatial and temporal transformation of a small agricultural watershed—Pipestem Creek in North Dakota; USA using satellite imagery from 1976 to 2015. To enhance the difference between forested land and non-forested land, a spectral transformation method—Tasseled-Cap’s Greenness Index (TCGI) was used. To study the spatial structure present in the imagery within the study period, semivariograms were generated. The Kriging prediction maps were post-classified using Remote Sensing techniques of change detection to obtain the direction and intensity of forest to non-forest change. TCGI generated higher values from 1976 to 2000 and it gradually reduced from 2000 to 2011 indicating loss of forested land.Keywords
This publication has 32 references indexed in Scilit:
- Incorporating spatial dependence in predictive vegetation modelsEcological Modelling, 2007
- Testing the performance of spatial interpolation techniques for mapping soil propertiesComputers and Electronics in Agriculture, 2006
- On digital soil mappingGeoderma, 2003
- Disturbances and structural development of natural forest ecosystems with silvicultural implications, using Douglas-fir forests as an exampleForest Ecology and Management, 2002
- Filtering SPOT imagery by kriging analysisInternational Journal of Remote Sensing, 2000
- An integrated remote sensing and GIS approach in the monitoring and evaluation of rapid urban growth for sustainable development in the Pearl River Delta, ChinaInternational Planning Studies, 1997
- Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, U.S.A.International Journal of Remote Sensing, 1995
- Using geographical information system and satellite imagery within a numerical simulation of regional urban growthInternational Journal of Geographical Information Science, 1990
- Review Article Digital change detection techniques using remotely-sensed dataInternational Journal of Remote Sensing, 1989
- A TM Tasseled Cap equivalent transformation for reflectance factor dataRemote Sensing of Environment, 1985