A High-Reliability, High-Resolution Method for Land Cover Classification Into Forest and Non-forest
نویسندگان
چکیده
We present several methods for per-region land-cover classification based on distances on probability distributions and whole-region probabilities. We present results on using this method for locating forest areas in high-resolution aerial images with very high reliability, achieving more than 95% accuracy, using raw radiometric channels as well as derived color and texture features. Region boundaries are obtained from a multi-scale hierarchical segmentation or from a registration of cadastral maps.
منابع مشابه
Comparing the Capability of Sentinel 2 and Landsat 8 Satellite Imagery in Land Use and Land Cover Mapping Using Pixel-based and Object-based Classification Methods
Introduction: Having accurate and up-to-date information on the status of land use and land cover change is a key point to protecting natural resources, sustainable agriculture management and urban development. Preparing the land cover and land use maps with traditional methods is usually time and cost consuming. Nowadays satellite imagery provides the possibility to prepare these maps in less ...
متن کاملThe Possibility of Created the Vegetation Cover Maps in the Central Zagros Forest by Using the IRS Satellite Image
The preparation of vegetation cover maps by used the land inventory and a traditional method has a lot of cost and time. But today, remote sensing is one of the main sources of data collection and information production for study and monitoring land resources, and was efficient tools for providing quickly and timely data and information needs for program planning in the natural resource filed. ...
متن کاملThe Possibility of Created the Vegetation Cover Maps in the Central Zagros Forest by Using the IRS Satellite Image
The preparation of vegetation cover maps by used the land inventory and a traditional method has a lot of cost and time. But today, remote sensing is one of the main sources of data collection and information production for study and monitoring land resources, and was efficient tools for providing quickly and timely data and information needs for program planning in the natural resource filed. ...
متن کاملAutomated Land Cover Mapping and Independent Change Detection in Tropical Forest Using Multi-temporal High Resolution Data Set
An automatic method for land cover mapping and for detecting forest change has been designed for high resolution couples of image. The work is done on 20x20 km samples of 30 m resolution Landsat imagery. The methodology has been developed for two dates extracts but several couple of images can be compared. An automatic multi-date segmentation is applied on extracts pairs. Segmentation parameter...
متن کاملForest Cover Classification from Multi-temporal MODIS Images in Southeast Asia Using Decision Tree
MODIS data is of significant for the classification of regional forest cover due to its high temporal resolution and high spectral resolution. Forest cover is an important parameter for forest ecosystem. The objective of this preliminary study is to mapping forest cover from mutli-temporal MODIS data with decision tree. The classification forest samples were selected from four global land cover...
متن کامل