I am doing a research on Nigerian mangrove degradation in the oil producing Niger Delta. Your response will make for useful input in this syudy
Hi Isa,
You can use time series of landsat imagery to map mangrove surface area changes since 1970's. But keep in mind that the pixel resolution is about 30m most of time. They are freely availlable on Glovis website.
If you want to study the whole region it's fine. But if you study a little area you would beter use high resolution satellites (0.5-2m) such as pleiades, woldview, ikonos etc. But, these images are often expensive ...
I also used a TerraSarX image coupled with a radiometric image (AVNIR but you can also use landsat or SPOT) to map mangroves in the oil producing Mahakam Delta in Indonesia. TerraSarX is very precise and AVNIR gives PIR information.
Kind regards
Landsat 8 - OLI
MODIS Aqua - Oceancolor
Landcover
https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mcd12q2
please refer USGS earth explorer web site and download LANDSAT data (nearly 30m resolution) for your region if you need detailed classification results use some of high resolution satellite images like worldview, Quickbird, IKONOS datas
Hi
Beside the Landsat and MODIS images, you can use ASTER images from http://reverb.echo.nasa.gov/reverb/#utf8=%E2%9C%93&spatial_map=satellite&spatial_type=rectangle
ASTER is twice high resolution (15 m) then Landsat (30 m).
Registrartion and downloading is free
Thank you for the responses. I appreciate the efforts and the various suggestions
In this context, the different methodological approaches for remote-sensing data information extraction and the generation of value-added products are also investigated. Typical mangrove habitats are temporarily inundated and often located in inaccessible regions; consequently, traditional field observation and survey methods are extremely time-consuming and cost intensive. To address these issues, large-scale, long-term, cost-effective monitoring and mapping tools are required, which are available by means of remote-sensing technology. Remote sensing of mangroves provides important information for:
Habitat inventories (determination of extent, species and composition, health status);
· Change detection and monitoring (land use, land cover, conservation and reforestation success,
· silviculture, and aquaculture development); Ecosystem evaluation support;
· Productivity assessment (biomass estimation);
· Regeneration capacity estimation;
· Multiple management requests (fisheries, aquaculture activities, conservation management
,· management guidelines and strategies); Field survey planning;
· Water-quality assessment;· Prompt information supply for disaster management; and
· Remote Sens. 2011, 3 880 Aid delivery to gain a better understanding of ecological and biological relations and processes, functions, and dynamics
Hi Isa,
You can use time series of landsat imagery to map mangrove surface area changes since 1970's. But keep in mind that the pixel resolution is about 30m most of time. They are freely availlable on Glovis website.
If you want to study the whole region it's fine. But if you study a little area you would beter use high resolution satellites (0.5-2m) such as pleiades, woldview, ikonos etc. But, these images are often expensive ...
I also used a TerraSarX image coupled with a radiometric image (AVNIR but you can also use landsat or SPOT) to map mangroves in the oil producing Mahakam Delta in Indonesia. TerraSarX is very precise and AVNIR gives PIR information.
Kind regards
Hi Isa, you may also wish to consider DMCii (20 m) which is calibrated to Landsat but better resolution. The new Sentinal 2A is worth a look though is new so may not yet have coverage. It has three bands in the ‘red edge’, which provide key information on vegetation state. The sensor seems superior at medium resolutions to anything else: 13 spectral bands (443 nm–2190 nm) with a swath width of 290 km and spatial resolutions of 10 m (4 visible and near-infrared bands), 20 m (6 red-edge/shortwave-infrared bands) and 60 m (3 atmospheric correction bands). Since your study seeks to measure change over time, it will be important that your sensors from both time periods are as comparable as possible or the "change" you detect may be down to processing / sensor differences. It sounds like an important study. All best.
Thank you Usman Baday, Jinya Li, Romain Walker, Colin Haris. I very much appreciate your wonderful contributions and will still consult from time to time
LANDSAT, MODIS are effective in characterization as well evaluating the spatio-temporal changes which could help in sustainable system's production
regards
Once you have downloaded relevant sequential (Landsat/Aster) imagery as the colleagues suggested, the next issues is the change detection analysis. Attached some examples (on land) for ideas. You may also find my mangrove/RS articles of interest.
Article What Drives Conversion of Tropical Forest in Carrasco Provin...
Article Forecasting the pattern and pace of Fagus forest expansion i...
- Badges
- Science topic
- Similar topics
- Geoscience
- Remote Sensing