Land cover classification and wetland inundation mapping using MODIS
Hydrologic models of wetlands enable water resources managers to quantify the environmental and societal roles of wetlands and manage them in ways that sustain their valuable services. However, reliable wetland models require data that are not typically available from in-situ measurements. In this a...
Saved in:
| Published in: | Remote sensing of environment 2018-01, Vol.204, p.1-17 |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | eng |
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Hydrologic models of wetlands enable water resources managers to quantify the environmental and societal roles of wetlands and manage them in ways that sustain their valuable services. However, reliable wetland models require data that are not typically available from in-situ measurements. In this article, we use satellite information from MODIS (500-meter, 8-day composite land surface reflectance product) and limited ground data to quantify the seasonal and inter-annual changes of wetland extent. This information is used to calibrate a new, non-parametric land cover classification approach. Extensive tests demonstrate that the new approach performs well in (i) classifying accurately land cover classes and (ii) delineating reliably seasonal and inter-annual wetland area changes. The new approach is applied to the Sudd wetland in South Sudan, a vast wetland of vital socioeconomic and environmental services, toward developing better, policy-relevant information and tools.
•Novel non-parametric spatial classification procedures are introduced.•MODIS NDVI and MNDWI indices are used in land cover and wetland mapping.•Accurate estimates of Sudd wetland (South Sudan) flood extents are derived.•MODIS is shown to improve wetland water balance and hydrologic modeling. |
|---|---|
| ISSN: | 0034-4257 1879-0704 |