scholarly journals Deforestation Could Exacerbate Drought in the Amazon

Eos ◽  
2019 ◽  
Vol 100 ◽  
Author(s):  
Kate Wheeling
Keyword(s):  
Land Use ◽  
Energy Balance ◽  
High Resolution ◽  
Rain Forest ◽  
Satellite Images ◽  
Land Use Changes ◽  
High Resolution Satellite Images ◽  
Effects Of Land Use

Researchers use high-resolution satellite images to parse the effects of land use changes on the energy balance between the rain forest and the atmosphere.

scholarly journals Mapping Land Use from High Resolution Satellite Images by Exploiting the Spatial Arrangement of Land Cover Objects

2020 ◽  
Vol 12 (24) ◽  
pp. 4158
Author(s):  
Mengmeng Li ◽  
Alfred Stein
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
High Resolution ◽  
Land Cover ◽  
Spatial Resolution ◽  
Satellite Images ◽  
Spatial Arrangement ◽  
Remote Sensing Images ◽  
Land Use Types ◽  
High Resolution Satellite Images

Spatial information regarding the arrangement of land cover objects plays an important role in distinguishing the land use types at land parcel or local neighborhood levels. This study investigates the use of graph convolutional networks (GCNs) in order to characterize spatial arrangement features for land use classification from high resolution remote sensing images, with particular interest in comparing land use classifications between different graph-based methods and between different remote sensing images. We examine three kinds of graph-based methods, i.e., feature engineering, graph kernels, and GCNs. Based upon the extracted arrangement features and features regarding the spatial composition of land cover objects, we formulated ten land use classifications. We tested those on two different remote sensing images, which were acquired from GaoFen-2 (with a spatial resolution of 0.8 m) and ZiYuan-3 (of 2.5 m) satellites in 2020 on Fuzhou City, China. Our results showed that land use classifications that are based on the arrangement features derived from GCNs achieved the highest classification accuracy than using graph kernels and handcrafted graph features for both images. We also found that the contribution to separating land use types by arrangement features varies between GaoFen-2 and ZiYuan-3 images, due to the difference in the spatial resolution. This study offers a set of approaches for effectively mapping land use types from (very) high resolution satellite images.

scholarly journals Vegetation Land Use/Land Cover Extraction From High-Resolution Satellite Images Based on Adaptive Context Inference

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 21036-21051
Author(s):  
Zongqian Zhan ◽  
Xiaomeng Zhang ◽  
Yi Liu ◽  
Xiao Sun ◽  
Chao Pang ◽  
...  
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Land Cover ◽  
Satellite Images ◽  
Land Use Land Cover ◽  
High Resolution Satellite Images

scholarly journals Changes in land use in the region of Grdelica Gorge in the period 1963-2011

2015 ◽  
pp. 77-84
Author(s):  
Sonja Braunović ◽  
Mihailo Ratknić ◽  
Tatjana Ratknić ◽  
Milan Kabiljo
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Satellite Images ◽  
Arable Land ◽  
Barren Land ◽  
High Resolution Satellite Images ◽  
Erosion Factor ◽  
Field Works ◽  
The Impact

A land use is the sole erosion factor that can be controlled and governed by man. Since an inadequate land use can cause intensification of erosive processes, it is possible to reduce their intensity by its change. The paper presents the changes in land use in the region of Grdelica Gorge in the period between 1963 and 2011 and the impact of the changes on the intensity of erosive processes. The identification of wooded land, arable land, meadows, pastures, orchards, vineyards and infertile land performed in 2011 was based on field works and the analysis of high-resolution satellite images. The comparison of the obtained results with the data for 1963 proved that the categories of barren land, forest, meadow and pasture underwent most intensive changes. The above-mentioned changes, along with performance of biological and technical works, resulted in reduction of intensity of erosive processes in the observed period.

An Approach for Building Rooftop Border Extraction from Very High-Resolution Satellite Images

2021 ◽  
pp. 1-11
Author(s):  
Yasser Mostafa ◽  
Mahmoud Nokrashy O. Ali ◽  
Faten Mostafa ◽  
Mohamed Yousef
Keyword(s):  
High Resolution ◽  
Satellite Images ◽  
High Resolution Satellite Images ◽  
Very High
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