- Remote Sensing and Land Use
- Geology and Paleoclimatology Research
- Remote Sensing in Agriculture
- Archaeology and ancient environmental studies
- Environmental Changes in China
- Soil Moisture and Remote Sensing
- Marine and environmental studies
- Remote-Sensing Image Classification
- Isotope Analysis in Ecology
- Animal Behavior and Welfare Studies
- Tree-ring climate responses
- Cryospheric studies and observations
- Geological formations and processes
- Pleistocene-Era Hominins and Archaeology
- Climate change and permafrost
Capital Normal University
2022
Jiangxi Normal University
2021
Qinghai University
2019
Chinese Academy of Sciences
2012
Remote sensing image change detection (CD) is an important task in remote analysis and essential for accurate understanding of changes the Earth’s surface. The technology deep learning (DL) becoming increasingly popular solving CD tasks images. Most existing methods based on DL tend to use ordinary convolutional blocks extract compare features, which cannot fully rich features high-resolution (HR) In addition, most lack robustness pseudochange information processing. To overcome above...
In this paper, principal component analysis is applied to multitemporal global normalized vegetation index (NVI) data for extracting combined features which are uncorrelated combinations of NVI data. The monthly prepared by selecting maximum value in pixels weekly removing cloud effect. averaged made averaging through 3 years (82.4-85.3), and used analysis. As the result, 7 components from PC1 PC7 extracted, meanings these also discussed.
Abstract In this paper, the survival status of sumatran rhinoceros was studied, ecological game put forward according to critically endangered status, differential dynamical system model and food established, relationship between parameters in land environmental conditions discussed. According value range four indicators, environment divided into three abundance, shortage critical state, so as obtain impact requirements on environment. The results show that lives cycles under different area...