A review on availability of remote sensing data
Abstract
The satellite images are applied on a wide range of applications. It plays a vital role in monitoring and maintaining the environmental changes and also in many agricultural applications. Nowadays, the Land degradation, Ground water scarcity and other climatic hazards are intensively high and it needs development of more advanced prediction models. These models can be deployed more effectively on using satellite images. Due to the launch of many modern satellites the availability of satellite images are high but still the exploitation of these resources are very scarce. It is due to the lack of knowledge over varied properties and the availability of different sources of satellite images. Though the moderate resolution satellite images are freely available, the rate of exploitation of these resources is still very less. Hence, this paper focuses on detailing the diverse characteristics and availability of satellite images which could be a great help for beginners in remote sensing research. In addition the details on major satellite derived products which are applied widely in different mapping applications are also listed. Further, the importance of satellite images in few notable applications is also explained.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Synthetic Aperture Radar (SAR) imaging permits observation of large target areas during day or night under almost any weather condition.
“Synthetic Aperture Radar (SAR) imaging, an alternate form of remote sensing, permits the observation of large target areas during day or night under almost any weather condition [145], [146].”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [145]
Cited by
Sorted by citations
Applications and Challenges of Artificial Intelligence in Space Missions
Oche, P. A., Ewa, G. A., & Ibekwe, N. (2024) · IEEE Access · doi:10.1109/access.2021.3132500 · Cited by 68 · see citing works
“In addition, satellite sensor variations (such as radiometric resolution, spatial, and spectra) and a change of viewpoint bring tremendous diversities into satellite image representations [143].”
BackgroundAn Overview of Technological Revolution in Satellite Image Analysis
Department of Computer Science & Engineering, K. A. U., Jenice, A. R., Raimond, K., & Department of Computer Science & Engineering, K. A. U. (2016) · Journal of Engineering Science and Technology Review · doi:10.25103/jestr.094.01 · Cited by 11 · see citing works
Self-citation
- Authors
- Jenice Aroma, R., & Raimond, K.
- Affiliations
- Karunya University (IN)
- ORCID
- Raimond, Kumudha
- Venue
- 2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)
- Publisher
- IEEE
- Published
- 2015-07
- Pages
- 150-155
- OpenAlex
- W2201725455
- Cited by
- 22
- References
- 0
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 2 · 2022: 5 · 2021: 3 · 2020: 2 · 2019: 3 · 2016: 2
- FWCI
- 7.85
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) (publishedVersion)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Remote Sensing and Land Use
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Physical Sciences › Engineering › Ocean Engineering › Satellite Image Processing and Photogrammetry
- Keywords
- satellite imagery, environmental monitoring, agricultural applications, land degradation, groundwater scarcity, climate hazards, remote sensing mapping
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review