Resources
Displaying 1356 - 1360 of 2258Analyzing Macro-Level Ecological Change and Micro-Level Farmer Behavior in Manas River Basin, China
Environmental degradation is closely related to unreasonable land use behaviors by farmers. In this study, participatory rural assessment (PRA) is used to conduct a detailed survey of farmers and plots and to collect relevant natural and social statistics. The accuracy of remote sensing data is verified by comparative analysis, and the change in status of various land use types in each research period is reflected by the change in the dynamic degree and change in range.
Endangered Mediterranean Mountain Heritage—Case Study of katuns at the Kuči Mountain in Montenegro
The study gives an insight into the domain of seasonal mountain settlements for summer cattle grazing (katuns), characteristic for the mountainous areas in the Mediterranean basin. The area of the Kuči Mountain in Montenegro was chosen for the case study. The area contains numerous characteristics exemplary for the topic—193 katuns with more than 2900 belonging housing and subsidiary objects.
Spatially Explicit Reconstruction of Anthropogenic Grassland Cover Change in China from 1700 to 2000
Long-term anthropogenic land use and land cover changes (LULCCs) are regarded as an important component of past global change. The past 300 years have witnessed dramatic changes in LULCC in China, and this has resulted in the large-scale conversion of natural vegetation to agricultural landscapes. Studies of past LULCC in China have mainly focused on cropland and forest; however, estimates of grassland cover remain rare due to the scarcity of grassland-related historical documents.
A Deep Neural Networks Approach for Augmenting Samples of Land Cover Classification
Land cover is one of key indicators for modeling ecological, environmental, and climatic processes, which changes frequently due to natural factors and anthropogenic activities. The changes demand various samples for updating land cover maps, although in reality the number of samples is always insufficient. Sample augment methods can fill this gap, but these methods still face difficulties, especially for high-resolution remote sensing data.
Observed Vegetation Greening and Its Relationships with Cropland Changes and Climate in China
Chinese croplands have changed considerably over the past decades, but their impacts on the environment remain underexplored. Meanwhile, understanding the contributions of human activities to vegetation greenness has been attracting more attention but still needs to be improved. To address both issues, this study explored vegetation greening and its relationships with Chinese cropland changes and climate. Greenness trends were first identified from the normalized difference vegetation index and leaf area index from 1982–2015 using three trend detection algorithms.