Land cover data represent a fundamental data source for various types of scientific research. The classification of land cover based on satellite data is a challenging task, and an efficient classification method is needed. In this study, an automatic scheme is proposed for the classification of land use using multispectral remote sensing images based on change detection and a semi-supervised c...

The objective of this study is to develop a methodology to integrate multi-source remote sensing data into a homogeneous time series of land cover maps in order to carry out change detection. We developed a method to increase the comparability between land cover maps coming from panchromatic aerial photographs and SPOT XS (multi-spectral ) data by equalizing their levels of thematic content and...

classifying remote sensing imageries to obtain reliable and accurate landuse/cover (luc) information still remains a challenge that depends on many factors suchas complexity of landscape especially in arid region. the aim of this paper is to extractreliable luc information from land sat imageries of the pishkouh watershed of centralarid region, iran. the classical maximum likelihood classifier ...

land use may be regarded as one of the most important factors affecting theenvironment with respect to human activities. so far, destroying the rangelands andchanging them into the waste lands and poor rangelands has been proposed as the mostsignificant variations of land use done by human beings. this paper has been conducted toevaluate the variations of vegetation percentage and land uses in ...

many investigations have demonstrated that arid regions display ideal conditions for remote sensing applications such as, land cover/land use detection. the aim of this study was to evaluate the capability of thematic mapper (tm) thermal band in land cover/land use mapping in the ardakan region of yazd province, an area of desert with severe salinity conditions, and the mook region in the f...

the growing population and increasing socio-economic necessities creates a pressure on land use/land cover. nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. this study investigates the land use changes in part of hableh rood watershed of iran using landsat 7 and 8 (sensor etm+ and oli) ...

remote sensing is a key technology for assessing expansion and rate of land cover changes that awareness of these changes as the basic information has a special importance for various programs. in this study, land use changes were examined over the past 24 years, and the feasibility of predicting it in the future was evaluated by using the markov chain model of the abbas plain. landsat tm, etm+...

Remote sensing has been widely used for mapping land cover and is considered key to monitoring changes in forest areas in the REDD+ Measurement, Reporting and Verification (MRV) system. But Remote Sensing as a desk study cannot capture the whole picture; it also requires ground checking. Therefore, complementing remote sensing analysis using participatory mapping can help provide information fo...

Remote sensing has the potential to provide estimates of important inputs for the land process models, for instance the land cover type, the soil moisture and the LAI. Such models can provide information that is crucial for a number of applications such as flood and drought prediction, crop irrigation scheduling, and meteorology. Also, land cover maps provide fundamental information to many asp...