Unmanned aerial vehicle for remote sensing applications—A review
H Yao, R Qin, X Chen - Remote Sensing, 2019 - mdpi.com
The unmanned aerial vehicle (UAV) sensors and platforms nowadays are being used in
almost every application (eg, agriculture, forestry, and mining) that needs observed …
almost every application (eg, agriculture, forestry, and mining) that needs observed …
[HTML][HTML] UAV remote sensing for urban vegetation map** using random forest and texture analysis
Q Feng, J Liu, J Gong - Remote sensing, 2015 - mdpi.com
Unmanned aerial vehicle (UAV) remote sensing has great potential for vegetation map**
in complex urban landscapes due to the ultra-high resolution imagery acquired at low …
in complex urban landscapes due to the ultra-high resolution imagery acquired at low …
Methods to extract impervious surface areas from satellite images
Impervious surface area (ISA) is an important parameter for many environmental or
socioeconomic relevant studies. The unique characteristics of remote sensing data made it …
socioeconomic relevant studies. The unique characteristics of remote sensing data made it …
Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture
A Random Forest (RF) classifier was applied to spectral as well as mono-and multi-seasonal
textural features extracted from Landsat TM imagery to increase the accuracy of land cover …
textural features extracted from Landsat TM imagery to increase the accuracy of land cover …
[HTML][HTML] Urban vegetation map** from aerial imagery using explainable AI (XAI)
Urban vegetation map** is critical in many applications, ie, preserving biodiversity,
maintaining ecological balance, and minimizing the urban heat island effect. It is still …
maintaining ecological balance, and minimizing the urban heat island effect. It is still …
An improved res-unet model for tree species classification using airborne high-resolution images
K Cao, X Zhang - Remote Sensing, 2020 - mdpi.com
Tree species classification is important for the management and sustainable development of
forest resources. Traditional object-oriented tree species classification methods, such as …
forest resources. Traditional object-oriented tree species classification methods, such as …
Urban flood map** based on unmanned aerial vehicle remote sensing and random forest classifier—A case of Yuyao, China
Q Feng, J Liu, J Gong - Water, 2015 - mdpi.com
Flooding is a severe natural hazard, which poses a great threat to human life and property,
especially in densely-populated urban areas. As one of the fastest develo** fields in …
especially in densely-populated urban areas. As one of the fastest develo** fields in …
A novel index for robust and large-scale map** of plastic greenhouse from Sentinel-2 images
P Zhang, P Du, S Guo, W Zhang, P Tang, J Chen… - Remote Sensing of …, 2022 - Elsevier
As an efficient mode of modern agriculture, plastic greenhouse (PG) has significantly
increased crop yields, but it is also criticized for changing the agriculture landscape and …
increased crop yields, but it is also criticized for changing the agriculture landscape and …
[HTML][HTML] Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep learning based domain adaptation
M Luo, S Ji - ISPRS Journal of Photogrammetry and Remote …, 2022 - Elsevier
Automatic land use/land cover (LULC) classification from very high resolution (VHR) remote
sensing images can provide us with rapid, large-scale, and fine-grained understanding of …
sensing images can provide us with rapid, large-scale, and fine-grained understanding of …
Performance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería (Spain)
This paper shows the first comparison between data from Sentinel-2 (S2) Multi Spectral
Instrument (MSI) and Landsat 8 (L8) Operational Land Imager (OLI) headed up to …
Instrument (MSI) and Landsat 8 (L8) Operational Land Imager (OLI) headed up to …