| Field |
Value |
Language |
|
dc.contributor.author |
Senanayake, S
https://orcid.org/0000-0002-0196-179X
|
|
|
dc.contributor.author |
Pradhan, B
https://orcid.org/0000-0001-9863-2054
|
|
|
dc.contributor.author |
Huete, A
https://orcid.org/0000-0003-2809-2376
|
|
|
dc.contributor.author |
Brennan, J |
|
|
dc.date.accessioned |
2021-01-04T21:58:59Z |
|
|
dc.date.available |
2021-01-04T21:58:59Z |
|
|
dc.date.issued |
2020-12-11 |
|
|
dc.identifier.citation |
Remote Sensing, 2020, 12, (24), pp. 4063-4063 |
|
|
dc.identifier.issn |
2315-4675 |
|
|
dc.identifier.issn |
2072-4292 |
|
|
dc.identifier.uri |
http://hdl.handle.net/10453/145069
|
|
|
dc.description.abstract |
<jats:p>Soil erosion is a severe threat to food production systems globally. Food production in farming systems decreases with increasing soil erosion hazards. This review article focuses on geo-informatics applications for identifying, assessing and predicting erosion hazards for sustainable farming system development. Several researchers have used a variety of quantitative and qualitative methods with erosion models, integrating geo-informatics techniques for spatial interpretations to address soil erosion and land degradation issues. The review identified different geo-informatics methods of erosion hazard assessment and highlighted some research gaps that can provide a basis to develop appropriate novel methodologies for future studies. It was found that rainfall variation and land-use changes significantly contribute to soil erosion hazards. There is a need for more research on the spatial and temporal pattern of water erosion with rainfall variation, innovative techniques and strategies for landscape evaluation to improve the environmental conditions in a sustainable manner. Examining water erosion and predicting erosion hazards for future climate scenarios could also be approached with emerging algorithms in geo-informatics and spatiotemporal analysis at higher spatial resolutions. Further, geo-informatics can be applied with real-time data for continuous monitoring and evaluation of erosion hazards to risk reduction and prevent the damages in farming systems.</jats:p> |
|
|
dc.language |
en |
|
|
dc.publisher |
MDPI AG |
|
|
dc.relation.ispartof |
Remote Sensing |
|
|
dc.relation.isbasedon |
10.3390/rs12244063 |
|
|
dc.rights |
info:eu-repo/semantics/openAccess |
|
|
dc.subject |
0203 Classical Physics, 0406 Physical Geography and Environmental Geoscience, 0909 Geomatic Engineering |
|
|
dc.title |
A Review on Assessing and Mapping Soil Erosion Hazard Using Geo-Informatics Technology for Farming System Management |
|
|
dc.type |
Journal Article |
|
|
utslib.citation.volume |
12 |
|
|
utslib.for |
0203 Classical Physics |
|
|
utslib.for |
0406 Physical Geography and Environmental Geoscience |
|
|
utslib.for |
0909 Geomatic Engineering |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Engineering and Information Technology |
|
|
pubs.organisational-group |
/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling |
|
|
pubs.organisational-group |
/University of Technology Sydney |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Science |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Science/School of Life Sciences |
|
|
utslib.copyright.status |
open_access |
* |
|
dc.date.updated |
2021-01-04T21:58:51Z |
|
|
pubs.issue |
24 |
|
|
pubs.publication-status |
Published online |
|
|
pubs.volume |
12 |
|
|
utslib.citation.issue |
24 |
|
