Results 51 to 60 of about 3,251,403 (347)
Study of Digital Elevation Model (DEM) Extraction using Stereo Radargrammetry TerraSAR-X in Madiun Area – Elevation Accuracy Improvement [PDF]
High resolution images data from Terrasar-X are used to extract digital elevation model (DEM) using stereo radargrammetry in the attempt to achieve better resolution of terrain surface in Indonesia.
Sari Inggit L.+5 more
doaj +1 more source
Deep Learning-Based Change Detection in Remote Sensing Images: A Review
Images gathered from different satellites are vastly available these days due to the fast development of remote sensing (RS) technology. These images significantly enhance the data sources of change detection (CD).
Ayesha Shafique+4 more
semanticscholar +1 more source
A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges
Water pollution has become one of the most serious issues threatening water environments, water as a resource and human health. The most urgent and effective measures rely on dynamic and accurate water quality monitoring on a large scale.
Haibo Yang+5 more
semanticscholar +1 more source
Due to a technical error at the Editorial Office, Figure 8 of manuscript [1] is missing in the published paper. The correct version of the figure is reproduced below. We apologize for any inconvenience caused to authors or readers of Remote Sensing.[...]
Remote Sensing Editorial Office
doaj +1 more source
After publication of the research paper [1], the Remote Sensing editorial office noticed errors and wish to make the following corrections.[...]
Remote Sensing Editorial Office
doaj +1 more source
SPATIAL DISAGGREGATION OF THE BIOENERGY POTENTIAL FROM CROP RESIDUES USING GEOSPATIAL TECHNIQUE [PDF]
Limited national fossil fuel resources and sustained increases in energy prices have resulted in nationwide efforts to study and deploy alternative energy sources. Despite high prospect, biomass resources has not been effectively utilized in India due to
A. Chakraborty+5 more
doaj +1 more source
Acknowledgement to Reviewers of Remote Sensing in 2015
The editors of Remote Sensing would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2015. [...]
Remote Sensing Editorial Office
doaj +1 more source
Remote Sensing Object Detection in the Deep Learning Era - A Review
Given the large volume of remote sensing images collected daily, automatic object detection and segmentation have been a consistent need in Earth observation (EO).
Shengxi Gui+3 more
semanticscholar +1 more source
The Editorial Office of Remote Sensing wish to report an error in the published paper [1]; Tables 6–8were incorrect.[...]
Remote Sensing Editorial Office
doaj +1 more source
Due to an error on our part, the pagination and the doi number of this manuscript [1] were missing during updating. The correct pagination is 9600–9652, and the doi number is 10.3390/rs6109600. Here is the correct version:[...]
Remote Sensing Editorial Office
doaj +1 more source