6,763 research outputs found
Replication Data for: Cross-validation data for Hamilton et al. North Ecuador Estuaries.
No full textData includes the study areas from Hamilton et al. 2007 with the AGMB processed according to the data in the Global Mangrove Carbon Stocks Database, excluding soil
Replication Data for: Cross-validation data for Hamilton et al. North Ecuador Estuaries.
No full textData includes the study areas from Hamilton et al. 2007 with the AGMB processed according to the data in the Global Mangrove Carbon Stocks Database, excluding soil
CGMFC-21, MFW, Global Mangrove Levels by Pixel (~30m), 2000 - 2012
No full textPlease visit bit.ly/1lMJ9zj for full information before downloading.
These data are one version of the GIS global mangrove database (MFW). It is 30 m pixel with global coverage annually from 2000 to 2012. Data are mangrove loss in the mangrove biome since 2000 as defined by MFW.
CGMFC-21 provides high resolution local, regional, national, and global estimates of annual mangrove forest levels using continuous data from 2000 through to 2012 with the goal of driving mangrove research questions pertaining to biodiversity, climate change, food security, livelihoods, fisheries support, and conservation that have been hindered until now by a lack of suitable data. CGMFC-21 provides the required spatiotemporal resolutions to not only set REDD baseline measures globally in a systematic manner, but also to account for forest degradation as well as deforestation on an annual basis. Countries showing relatively high levels of 21st Century mangrove loss include Myanmar, Guatemala, Malaysia, Cambodia, and Indonesia. Many nations that have reported mangrove deforestation in earlier periods such as Ecuador, Bangladesh and Nigeria, have stabilized their mangrove levels during this period. Indonesia remains by far the largest mangrove holding nation containing between 26.16% and 28.50% of the global mangrove area with a deforestation rate of between 0.26% and 0.63% annually. Global mangrove deforestation continues but at a much reduced rate of between 0.16% and 0.39% annually. Annual mangrove deforestation is now close to zero in the Americas, Africa, and Australia as well as in selected Ramsar sites and protected areas. The global mangrove deforestation pattern during the 21st Century is one of decreasing rates of deforestation, with many nations essentially stable, with the exception of the largest mangrove holding region of Southeast Asia
Replication Data for: Mangrove forest to shrimp farm conversion in Indonesia from 2000 to 2012
No full textBetween 2000 and 2012, Indonesia lost 3.11% of its mangrove forest area (Hamilton and Casey 2014). This is substantially higher than the 1.97% global average. This is problematic as Indonesia contains approximately 28% of the world’s mangrove forest. To put this in perspective, Indonesia’s 21st Century mangrove loss is more mangrove forest than actually exists in all but 20 of the top 100 mangrove-holding nations. Mangrove loss in Indonesia is responsible for just under half of all global mangrove deforestation that has occurred in the 21st Century. Earlier research indicates aquaculture, agriculture, and urbanization as reasons for mangrove losses in Indonesia pre-2000, but post-2000 the reasons for the continued mangrove loss remained opaque until this study.
This is the dataset used to classify mangrove loss for the above analysis
Replication Data for: Mangrove forest to shrimp farm conversion in Indonesia from 2000 to 2012
No full textBetween 2000 and 2012, Indonesia lost 3.11% of its mangrove forest area (Hamilton and Casey 2014). This is substantially higher than the 1.97% global average. This is problematic as Indonesia contains approximately 28% of the world’s mangrove forest. To put this in perspective, Indonesia’s 21st Century mangrove loss is more mangrove forest than actually exists in all but 20 of the top 100 mangrove-holding nations. Mangrove loss in Indonesia is responsible for just under half of all global mangrove deforestation that has occurred in the 21st Century. Earlier research indicates aquaculture, agriculture, and urbanization as reasons for mangrove losses in Indonesia pre-2000, but post-2000 the reasons for the continued mangrove loss remained opaque until this study.
This is the dataset used to classify mangrove loss for the above analysis
Replication Data for: HURRICANE CODE. Virginia’s Barrier Islands under Differing Sea-Level Rise Scenarios.
No full textHurricane point code within set proximity of VES. Python
CGMFC-21, Global Mangrove Levels by Country 2000 - 2014
No full textPlease visit bit.ly/1lMJ9zj for full information before downloading.
CGMFC-21 provides high resolution local, regional, national, and global estimates of annual mangrove forest levels using continuous data from 2000 through to 2012 with the goal of driving mangrove research questions pertaining to biodiversity, climate change, food security, livelihoods, fisheries support, and conservation that have been hindered until now by a lack of suitable data. CGMFC-21 provides the required spatiotemporal resolutions to not only set REDD baseline measures globally in a systematic manner, but also to account for forest degradation as well as deforestation on an annual basis. Countries showing relatively high levels of 21st Century mangrove loss include Myanmar, Guatemala, Malaysia, Cambodia, and Indonesia. Many nations that have reported mangrove deforestation in earlier periods such as Ecuador, Bangladesh and Nigeria, have stabilized their mangrove levels during this period. Indonesia remains by far the largest mangrove holding nation containing between 26.16% and 28.50% of the global mangrove area with a deforestation rate of between 0.26% and 0.63% annually. Global mangrove deforestation continues but at a much reduced rate of between 0.16% and 0.39% annually. Annual mangrove deforestation is now close to zero in the Americas, Africa, and Australia as well as in selected Ramsar sites and protected areas. The global mangrove deforestation pattern during the 21st Century is one of decreasing rates of deforestation, with many nations essentially stable, with the exception of the largest mangrove holding region of Southeast Asia
Wind Speed, LV Watershed, raster, 1/2000 to 12/2015
No full textWind Speed, LV Watershed, raster, 1/2000 to 12/2015
Reference Information and Units:
GCS: EPSG:4326 (http://spatialreference.org/).
Projection: Data has not been projected.
Pixel Size: 0.125 degrees, approx. 14km at the equator.
Units: m/s-1. At surface. Data values are monthly means of daily means.
File Naming Convention:
WS_Year_month
Data Origin:
ERA Interim, Monthly Means of Daily Means, and was developed by the European Centre for Medium-Range Weather Forecasts (ECMWF). http://apps.ecmwf.int/datasets/data/interim-full-moda/levtype=sfc/
Sensor:
Various, "Reanalysis (as well as analysis) is a process by which model information and observations of many different sorts are combined in an optimal way to produce a consistent, global best estimate of the various atmospheric, wave and oceanographic parameters."
Code:
for %A in ("C:\temp\*.nc") do gdal_translate -of GTiff -ot FLOAT32 -a_srs "+init=epsg:4326" -unscale -co "COMPRESS=PACKBITS" "%A" "%A.tif
Data Development/Processing:
Converted TIFF data was validated against the parent NetCDF file for correct cell size and pixel value.
Output TIFFs were flipped. This was remedied via batch flipping in ArcGIS (Flip tool).
The GCS was batch defined in ArcGIS as SR-ORG:14.
Processed data was then batch clipped to Lake Victoria and the surrounding lakes and statistics were calculated.</p
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