Results 41 to 50 of about 4,530 (76)

CG-CFPANet: a multi-task network for built-up area extraction from SDGSAT-1 and Sentinel-2 remote sensing images

International Journal of Digital Earth
Accurate extraction of built-up areas is helpful to urban development and map updating. Nighttime light (NTL) data can capture the lighting signal of ground objects.
Lei Wang, Cheng Ye, Fang Chen, Ning Wang, Congrong Li, Haiying Zhang, Yu Wang, Bo Yu   +7 more
doaj   +1 more source

A point cloud segmentation method for power lines and towers based on a combination of multiscale density features and point-based deep learning

International Journal of Digital Earth, 2023
The point segmentation of power lines and towers aims to use unmanned aerial vehicles (UAVs) for the inspection of power facilities, risk detection and modelling.
Wenbo Zhao, Qing Dong, Zhengli Zuo
doaj   +1 more source

Evaluation of impervious surface extraction based on Qimingxing-1 nighttime light and point of interest data

International Journal of Digital Earth
Impervious surface extraction is essential for environmental management and urban studies. Although nighttime light data have been widely used for this purpose, few studies have utilized the high-resolution (21 m) Qimingxing-1 data released in 2022 ...
Suixuan Qiu, Zejia Chen, Huishan Luo, Jinyao Lin, Siyan Lu, Xinchang Zhang   +5 more
doaj   +1 more source

A new vegetation index combination for leaf carotenoid-to-chlorophyll ratio: minimizing the effect of their correlation

International Journal of Digital Earth, 2023
The ratio of leaf carotenoid to chlorophyll (Car/Chl) is an indicator of vegetation photosynthesis, development and responses to stress. However, the correlation between Car and Chl, and their overlapping absorption in the visible spectral domain pose a ...
Chunmei He, Jia Sun, Yuwen Chen, Lunche Wang, Shuo Shi, Feng Qiu, Shaoqiang Wang, Torbern Tagesson   +7 more
doaj   +1 more source

Predicting intermediate wavelength depth using a deep neural network combined with gravity data in the Sea of Japan

International Journal of Digital Earth
Influenced by various geophysical factors, gravity and bathymetry exhibit significant correlations only at certain intermediate wavelengths. In this study, a deep neural network (DNN) combined with multi-source gravity data was used to recovery the ...
Dechao An, Wei Feng, Xiaodong Chen, Mingzhi Sun, Zeyuan Zhang, Meng Yang, Min Zhong   +6 more
doaj   +1 more source

An object detection method for bayberry trees based on an improved YOLO algorithm

International Journal of Digital Earth, 2023
To quickly detect and count the number of bayberry trees, this paper improves the YOLO-v4 model and proposes an optimal YOLO-v4 method for detecting bayberry trees based on UAV images.
Youliang Chen, Hanli Xu, Xiangjun Zhang, Peng Gao, Zhigang Xu, Xiaobin Huang   +5 more
doaj   +1 more source

AAMS-YOLO: enhanced farmland parcel detection for high-resolution remote sensing images

International Journal of Digital Earth
Detecting farmland parcels in high-resolution remote sensing images is challenging in smallholder farming systems in China, characterized by fragmented plots, irregular shapes, and varying scales.
Binyao Wang, Ya’nan Zhou, Weiwei Zhu, Li Feng, Jinke He, Tianjun Wu, Jiancheng Luo, Xin Zhang   +7 more
doaj   +1 more source

Decoupling characteristics of county-level land use carbon emissions and ecological environment quality at spatiotemporal scales: a case study of Shaanxi Province, China

International Journal of Digital Earth
A critical approach to achieving dual carbon targets is to maintain strong decoupling (SD) between land use carbon emissions (LUCE) and ecological environment quality (EEQ).
Jianfeng Li, Jichang Han, Yang Zhang, Siqi Liu, Huping Ye, Zhuoying Zhang   +5 more
doaj   +1 more source

Satellite and AI monitoring humanitarian crises in the Gaza Strip during the early stage of Israeli–Palestinian conflict

International Journal of Digital Earth
Extensive power shortages and airstrikes have plunged Gaza into a severe humanitarian crisis. Here, we introduce a rapid and efficient framework to evaluate the impacts of armed conflict and monitor potential humanitarian crises in the Gaza Strip based ...
Qikang Zhao, Xin Tan, Qingyan Meng, Liang Gao, Linlin Zhang, Xuewen Lei, Wenxu Shi, Mingming Zhu   +7 more
doaj   +1 more source

A novel remote sensing method to estimate pixel-wise lake water depth using dynamic water-land boundary and lakebed topography

International Journal of Digital Earth
Water depth, a fundamental characteristic of a lake, is important for understanding climatic, ecological, and hydrological processes. However, lake water depth data are still scarce due to the high cost of in-situ measurements and the limitations of ...
Yunzhe Lv, Li Jia, Massimo Menenti, Chaolei Zheng, Min Jiang, Jing Lu, Yelong Zeng, Qiting Chen, Ali Bennour   +8 more
doaj   +1 more source