Results 81 to 90 of about 28,999 (200)

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

Glacier changes in the Bavarian Alps from 1989/90 to 2006/07 [PDF]

, 2008
The five glaciers in Bavaria which today cover a total area of less than one square kilometer were frequently monitored by geodetic methods from the mid of the 20th century. In this paper, the record is extended by new surveys in 1999 and 2006.
Hagg, Wilfried, Mayer, Christoph, Steglich, C.   +2 more
core   +1 more source

On Utilizing Spatial Gradients to Discover Functional Relationships in Hydrology

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract The search for functional relationships is at the heart of any science, but has proven notoriously difficult in hydrology. Here, we define functional relationships as relationships between two or more variables that characterize the functions of hydrological systems.
Sebastian Gnann, Thorsten Wagener
wiley   +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

Modeling Transient Groundwater Flow in Unconfined Aquifers Under Dynamic Conditions Using Physics‐Informed Neural Networks

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Deep learning neural networks (DLNNs) hold great potential for modeling groundwater flow, but their performance depends on data availability. Physics‐informed neural networks (PINNs) help to reduce the reliance of DLNNs on data by integrating physical laws into the training process. This approach is increasingly used in applications related to
Adhish Virupaksha, François Lehmann, Hussein Hoteit, Anis Younes, Marwan Fahs, Thomas Nagel   +5 more
wiley   +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

Mathematical Geography and Cartography in Antiquity

, 2021
Olivier Defaux
openalex   +2 more sources

The probability of flooding wave occurrence and the vulnerability of the Kosovo territory settlements [PDF]

, 2013
The work displays the presumed laws of flooding waves which would occur if the 1976 situation when the great floods in Kosovo happened reoccurred again.
Pavlović Mila, Valjarević Aleksandar, Živković Dragica   +2 more
core   +1 more source

Integrating Satellite Data Into Meso‐Scale Habitat Modeling for Non‐Perennial Rivers and Streams

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Non‐perennial rivers and streams (NPRs) are widespread and projected to become more common, yet effective tools for their characterization and management remain limited. This study introduces a novel approach to assess aquatic habitat availability in NPRs, applied to a regulated reach of the Sangone River (Northern Italy).
G. Negro, B. Pinna, G. Manfreda, P. Lo Conte, E. Belcore, P. Maschio, C. Cavallo, M. N. Papa, P. Vezza   +8 more
wiley   +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