Deep learning for check dam area extraction with optical images and digital elevation model: A case study in the hilly and gully regions of the Loess Plateau, China

Dynamic Modeling Framework of Sediment Trapped by Check-Dam Networks: A Case Study of a Typical Watershed on the Chinese Loess Plateau

(2022) Pengcheng Sun et al.   Engineering

Using Open Vector-Based Spatial Data to Create Semantic Datasets for Building Segmentation for Raster Data

(2022) Szymon Glinka et al.   Remote Sensing

Deforestation Detection in the Amazon Using DeepLabv3+ Semantic Segmentation Model Variants

(2022) Renan Bides de Andrade et al.   Remote Sensing

Extracting check dam areas from high‐resolution imagery based on the integration of object‐based image analysis and deep learning

(2021) Sijin Li et al.   LAND DEGRADATION & DEVELOPMENT

Potato crop stress identification in aerial images using deep learning‐based object detection

(2021) Sujata Butte et al.   AGRONOMY JOURNAL

Landslide susceptibility prediction based on image semantic segmentation

(2021) Bowen Du et al.   COMPUTERS & GEOSCIENCES

An extreme May 2018 debris flood case study in northern Slovenia: analysis, modelling, and mitigation

(2020) Nejc Bezak et al.   Landslides

Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models

(2020) Nikhil Prakash et al.   Remote Sensing

Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends

(2020) Thorsten Hoeser et al.   Remote Sensing

Soil erosion and sediment interception by check dams in a watershed for an extreme rainstorm on the Loess Plateau, China

(2020) Leichao Bai et al.   International Journal of Sediment Research

Mining and Tailings Dam Detection in Satellite Imagery Using Deep Learning

(2020) Remis Balaniuk et al.   SENSORS

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Fully Convolutional Networks and Geographic Object-Based Image Analysis for the Classification of VHR Imagery

(2019) Nicholus Mboga et al.   Remote Sensing

Land-use changes and check dams reducing runoff and sediment yield on the Loess Plateau of China

(2019) Peng Shi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Effects of DEM resolution on the accuracy of gully maps in loess hilly areas

(2019) Wen Dai et al.   CATENA

sUAS, SfM-MVS photogrammetry and a topographic algorithm method to quantify the volume of sediments retained in check-dams

(2019) Alberto Alfonso-Torreño et al.   SCIENCE OF THE TOTAL ENVIRONMENT

The use of check dams in watershed management projects: Examples from around the world

(2019) Naseer Ahmed Abbasi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Hierarchical Airport Detection Method Using Spatial Analysis and Deep Learning

(2019) Fanxuan Zeng et al.   Remote Sensing

A survey on deep learning techniques for image and video semantic segmentation

(2018) Alberto Garcia-Garcia et al.   APPLIED SOFT COMPUTING

Variation in the sediment deposition behind check-dams under different soil erosion conditions on the Loess Plateau, China

(2018) Yanhong Wei et al.   EARTH SURFACE PROCESSES AND LANDFORMS

Building Extraction at Scale Using Convolutional Neural Network: Mapping of the United States

(2018) Hsiuhan Lexie Yang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Automated regolith landform mapping using airborne geophysics and remote sensing data, Burkina Faso, West Africa

(2018) Václav Metelka et al.   REMOTE SENSING OF ENVIRONMENT

Semantic Segmentation for High Spatial Resolution Remote Sensing Images Based on Convolution Neural Network and Pyramid Pooling Module

(2018) Bo Yu et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

The role of check dams in retaining organic carbon and nutrients. A study case in the Sierra de Ávila mountain range (Central Spain)

(2018) J. Mongil-Manso et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Effects of check dams on bed-load transport and steep-slope stream morphodynamics

(2017) Guillaume Piton et al.   GEOMORPHOLOGY

Deep Fully Convolutional Networks for the Detection of Informal Settlements in VHR Images

(2017) Claudio Persello et al.   IEEE Geoscience and Remote Sensing Letters

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

(2017) John E. Ball et al.   Journal of Applied Remote Sensing

Automatic building footprint extraction from high-resolution satellite image using mathematical morphology

(2017) Nitin L. Gavankar et al.   European Journal of Remote Sensing

Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

(2016) Liangpei Zhang et al.   IEEE Geoscience and Remote Sensing Magazine

The correlation analysis on the landscape pattern index and hydrological processes in the Yanhe watershed, China

(2015) Z.X. Zhou et al.   JOURNAL OF HYDROLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Check dam identification using multisource data and their effects on streamflow and sediment load in a Chinese Loess Plateau catchment

(2013) Peng Tian et al.   Journal of Applied Remote Sensing

How Many Check Dams Do We Need To Build on the Loess Plateau?

(2012) Zhao Jin et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Check Dam in the Loess Plateau of China: Engineering for Environmental Services and Food Security.

(2011) Yafeng Wang et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY