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 …
primary requirement for many applications and is affected during the different processing …
Assessment and mapping of groundwater vulnerability to pollution: Current status and challenges
Increasing groundwater contamination across the globe triggered the concept of “aquifer
vulnerability”, which has been extensively used worldwide during past three to four decades …
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 …
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
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 …
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 …
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
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 …
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
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 …
hydraulic information and time series data on surface runoff. To date, several attempts have …
Random forest spatial interpolation
For many decades, kriging and deterministic interpolation techniques, such as inverse
distance weighting and nearest neighbour interpolation, have been the most popular spatial …
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 …
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
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 …
inexpensive city-scale Light Detection And Ranging (LiDAR) point clouds, which can be …