Zenghui Sun
Dados Biográficos
| ID | 6274813 |
|---|---|
| NOME | Zenghui Sun |
| PRENOMES | Zenghui |
| SOBRENOME | Sun |
| ASSINATURA | SUN Z |
| AFILIAÇÕES | Ministry of Natural Resources |
| ORCID | 0009-0005-6450-7905 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 2 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 1 |
Lagged and cumulative effects of drought on global vegetation greenness, coverage, and productivity
Vegetation Coverage Prediction for the Qinling Mountains Using the CA–Markov Model
The Qinling Mountains represent the dividing line of the natural landscape of north-south in China. The prediction on vegetation coverage is important for protecting the ecological environment of the Qinling Mountains. In this paper, the data accuracy and reliability of three vegetation index data (GIMMS NDVI, SPOT NDVI, and MODIS NDVI) were compared at first. SPOT, NDVI, and MODIS NDVI were used for calculating the vegetation coverage in the Qin…
Performance Evaluation and Comparison of Bivariate Statistical-Based Artificial Intelligence Algorithms for Spatial Prediction of Landslides
The purpose of this study is to compare nine models, composed of certainty factors (CFs), weights of evidence (WoE), evidential belief function (EBF) and two machine learning models, namely random forest (RF) and support vector machine (SVM). In the first step, fifteen landslide conditioning factors were selected to prepare thematic maps, including slope aspect, slope angle, elevation, stream power index (SPI), sediment transport index (STI), top…
Performance Evaluation and Comparison of Bivariate Statistical-Based Artificial Intelligence Algorithms for Spatial Prediction of Landslides
The purpose of this study is to compare nine models, composed of certainty factors (CFs), weights of evidence (WoE), evidential belief function (EBF) and two machine learning models, namely random forest (RF) and support vector machine (SVM). In the first step, fifteen landslide conditioning factors were selected to prepare thematic maps, including slope aspect, slope angle, elevation, stream power index (SPI), sediment transport index (STI), top…
Vegetation Coverage Prediction for the Qinling Mountains Using the CA–Markov Model
The Qinling Mountains represent the dividing line of the natural landscape of north-south in China. The prediction on vegetation coverage is important for protecting the ecological environment of the Qinling Mountains. In this paper, the data accuracy and reliability of three vegetation index data (GIMMS NDVI, SPOT NDVI, and MODIS NDVI) were compared at first. SPOT, NDVI, and MODIS NDVI were used for calculating the vegetation coverage in the Qin…
Lagged and cumulative effects of drought on global vegetation greenness, coverage, and productivity
Geography (3 obras) · Ecology (2 obras) · Environmental Science (2 obras) · Mathematics (2 obras) · Normalized Difference Vegetation Index (2 obras) · Statistics (2 obras) · Agroforestry (1 obras) · Algorithm (1 obras) · Artificial Intelligence (1 obras) · Biology (1 obras)