The reliability of support vector machines for classifying hyper-spectral images of remote sensing has been proven in various studies. In this paper, we investigate their applicability for land cover change detection. First, SVM-based change detection is presented and performed for mapping urban growth in the Algerian capital. Different performance indicators, as well as a comparison with artif...

The paper evaluated the Landsat Automated Land Cover Update Mapping (LALCUM) system designed to rapidly update a land cover map to a desired nominal year using a pre-existing reference land cover map. The system uses the Iteratively Reweighted Multivariate Alteration Detection (IRMAD) to identify areas of change and no change. The system then automatically generates large amounts of training sa...

Ecosystem-related observations from remote sensors on satellites offer significant possibility for understanding the location and extent of global land cover change. In this paper, we focus on time series segmentation techniques in the context of land cover change detection. We propose a model-based time series segmentation algorithm inspired by an event detection framework proposed in the fiel...

Change detection techniques based on post-classification comparison are used for monitoring the land-cover change using multi-temporal satellite imagery. A methodology for automatic land-cover change detection has been developed based on Artificial Neural Networks (ANNs) for multispectral image classification. The method developed is based on a classification step of the available images and a ...

Moderate Resolution Imaging Spectroradiometer (MODIS) data are effective and efficient for monitoring urban dynamics such as urban cover change and thermal anomalies, but the spatial resolution provided by MODIS data is 500 m (for most of its shorter spectral bands), which results in difficulty in detecting subtle spatial variations within a coarse pixel—especially for a fast-growing city. Give...

The importance of accurate and timely information describing the nature and extent of land resources and changes over time is increasing, especially in mountainous areas. We have developed a methodology to map and monitor land cover change using multitemporal Landsat Thematic Mapper (TM) and ASTER data in Zagros mountains of Iran for 1990, 1998, and 2006. Land-use/cover mapping is achieved thro...

In this paper, we describe a new change detection method that determines the date at which land-use changes occur in a sequential series of Landsat TM images. We use this approach to extract annual rates of land conversion in the Pearl River Delta, China, for the period 1988-1996. The technique is a three-step change detection procedure that uses time series and panel econometric methods. First...

Keywords: land-use change, land-cover change, determinants of land-use and land-cover change

land use and land cover changes occur throughout the world, but none is more concerning than tropical deforestation, much of it for agricultural purposes . rural-rural frontier migrant farmers such as those colonizing the sierra del lacandón national Park in Petén, guatemala act as a primary direct agent in this land cover conversion . this paper seeks to compare three different algorithms for ...