Wetlands are some of the most important ecosystems on Earth. They play a key role in
alleviating floods and filtering polluted water and also provide habitats for many plants and …

The random function theory forms the basis of geostatistics and allows modelling of the
uncertainty associated with spatial estimation and simulation. Remote sensing involves …

In the light of growing debates over climate change, population growth, and associated
activities, wetland ecosystems have gained immeasurable importance as they have …

Coastal wetlands in the Mekong Delta (MD), Vietnam, provide various vital ecosystem
services for the region. These wetlands have experienced critical changes due to the …

In this research, the integration of remotely sensed data and Cellular Automata-Markov
model (CA-Markov) have been used to analyze the dynamics of land use change and its …

Over the past decade, the incorporation of spatial information has drawn increasing attention
in multispectral and hyperspectral data analysis. In particular, the property of spatial …

Methane is produced by various natural processes that directly or indirectly contribute to the
entire Earth's methane budget. If the Earth's overall methane budget becomes imbalanced …

由于对地观测技术的迅速发展, 空间数据的种类和数量增长迅猛, 由空间数据反演得到的各种
信息日趋膨胀, 这些反演结果中的信息不少以软数据的形式出现. 在实际应用中 …

Object-based classification, commonly referred to as object-based image analysis (OBIA), is
now commonly regarded as able to produce more appealing classification maps, often of …

The knowledge of the land use is important for the agricultural economy and for defining the
deployment of new crops. Thus, a tool for the mapping and quantification of crops is …