An approach to simulating land-cover patterns based on historical land-use maps and forecasts based on models and planning documents is described and demonstrated. The approach uses stochastic spatial simulation to generate land-cover patterns on the basis of a land-use map and stated translation rules. The translation rules take the form of (1) a table that summarizes the proportions of each l...

The paper summarized pre-existing research works relating to land use/land cover classification based on multi-resolution remote sensing data. According to the features of regions, we carried out of the land use/land cover classification of level III classes in 148 group of Xinjiang agricultural reclamation eighth division. The land use/land cover classification system divided land in study are...

modeling and prediction of land use/cover changes is an essential need for planning sustainable use of land in country like iran with its high level of changes in land uses and land covers. this study aimed to analyze the capability of ca markov prediction model and landsat satellite images for land use/cover change detection within the framework of “iran at 1404 prospective” in esfarayen r...

Validation of land cover products is a fundamental task prior to data applications. Current validation schemes and methods are, however, suited only for assessing classification accuracy and disregard the reliability of land cover products. The reliability evaluation of land cover products should be undertaken to provide reliable land cover information. In addition, the lack of high-quality ref...

Our research focuses on assessing the usability of the International Geosphere Biosphere Programme (IGBP) classification scheme provided in the MODIS MCD12Q1-1 dataset for assessing the land cover of the city-state, Singapore. We conducted a user study with responses from 33 users by providing them with Google Earth images from different parts of Singapore, asking survey-takers to classify thes...

MODIS enhanced vegetation index (EVI) and land surface temperature (LST) are key indicators for monitoring vegetation cover changes in broad ecosystems. However, there has been little evaluation of these indices for detecting changes in a range of land covers in tropical regions. In this study, we investigated the characteristics and seasonal responses of LST and EVI for four different land cov...

Analysis of the full waveform return pulse of laser altimeter systems is expected to increase the possibilities and accuracy in well-known applications of laser altimetry like DTM generation, forestry and earth surface analysis. NASA’s ICESat Geoscience Laser Altimeter System (GLAS) was launched in 2003 and acquires full waveform data along profiles covering the entire earth. In this study, the...

Often landscape metrics are not thoroughly evaluated with respect to remote sensing data characteristics, such as their behavior in relation to variation in spatial and temporal resolution, number of land cover classes or dominant land cover categories. In such circumstances, it may be difficult to ascertain whether a change in a metric is due to landscape pattern change or due to the inherent ...

The objective of this work is to compare various ET models based on a standard dataset. We selected 9 ET models for comparison, including three surface energy balance residual models (SEBS, TSEB-P and TSEB-S), four Penman-Monteith models (PM-Mu, PM-Yuan, PM-Sun and PM-SW), one Priestly-Taylor model (PT-Fi) and one semi-empirical statiacital model (ST). ET is evaluated using surface climate data...