Digital elevation model quality assessment methods: A critical review

L Polidori, M El Hage - Remote sensing, 2020 - mdpi.com
Digital elevation models (DEMs) are widely used in geoscience. The quality of a DEM is a
primary requirement for many applications and is affected during the different processing …

Assessment and mapping of groundwater vulnerability to pollution: Current status and challenges

D Machiwal, MK Jha, VP Singh, C Mohan - Earth-Science Reviews, 2018 - Elsevier
Increasing groundwater contamination across the globe triggered the concept of “aquifer
vulnerability”, which has been extensively used worldwide during past three to four decades …

[PDF][PDF] 中国县域城镇化的空间特征与形成机理

刘彦随, 杨忍 - 地理学报, 2012 - sssampling.cn
本文综合运用样带, 地统计, 地理探测器等多种研究方法, 分析了1990 年以来中国县域城镇化的
时空特征及形成机理. 研究表明: ① 中国县域城镇化水平时空动态的差异特征显著 …

Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling

N Sillero, S Arenas-Castro, U Enriquez‐Urzelai… - Ecological …, 2021 - Elsevier
The use of correlative ecological niche models has highly increased in the last decade.
Despite all literature and textbooks in this field, few practical guidelines exist on the correct …

[图书][B] Geoprocessamento sem complicação

PR Fitz - 2018 - books.google.com
Mapas têm uma longa história de ferramenta poderosa em Geografia e em inúmeros outros
ramos do conhecimento, remontando às aventuras da navegação e aos mapas secretos. As …

A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities

Y Cao, X Huang - Remote Sensing of Environment, 2021 - Elsevier
Abstract Knowledge of building height is critical for understanding the urban development
process. High-resolution optical satellite images can provide fine spatial details within urban …

[HTML][HTML] Urban flood modeling using deep-learning approaches in Seoul, South Korea

X Lei, W Chen, M Panahi, F Falah, O Rahmati… - Journal of …, 2021 - Elsevier
Identification of flood-prone sites in urban environments is necessary, but there is insufficient
hydraulic information and time series data on surface runoff. To date, several attempts have …

Random forest spatial interpolation

A Sekulić, M Kilibarda, GBM Heuvelink, M Nikolić… - Remote Sensing, 2020 - mdpi.com
For many decades, kriging and deterministic interpolation techniques, such as inverse
distance weighting and nearest neighbour interpolation, have been the most popular spatial …

[PDF][PDF] Köppen's climate classification map for Brazil

CA Alvares, JL Stape, PC Sentelhas… - Meteorologische …, 2013 - 143.107.18.37
Köppen's climate classification remains the most widely used system by geographical and
climatological societies across the world, with well recognized simple rules and climate …

From LiDAR point cloud towards digital twin city: Clustering city objects based on Gestalt principles

F Xue, W Lu, Z Chen, CJ Webster - ISPRS Journal of Photogrammetry and …, 2020 - Elsevier
Recent advancement of remote sensing technologies has brought in accurate, dense, and
inexpensive city-scale Light Detection And Ranging (LiDAR) point clouds, which can be …