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Houses pocket along the coast as the aquamarine Arafura sea blends seamlessly with the absinthe upland of Papua, Indonesia.
Photo by Manuel Boissière for CIRAD and CIFOR
If you use one of our photos, please credit it accordingly and let us know. You can reach us through our Flickr account or at: cifor-mediainfo@cgiar.org and m.edliadi@cgiar.org
Tommy Gregg working with infrared transparencies on the mountain pine beetle project. La Grande Ranger District, Wallowa-Whitman National Forest, Oregon.
Photo by: Peter W. Orr
Date: August 1970
Credit: USDA Forest Service, Region 6, State and Private Forestry, Forest Health Protection.
Source: Division of Timber Management, Insect and Disease Control Branch Collection; Regional Office, Portland, Oregon.
Image: ID-835
Image provided by USDA Forest Service, Pacific Northwest Region, State and Private Forestry, Forest Health Protection: www.fs.usda.gov/main/r6/forest-grasslandhealth
Global Pastures in 2000 map the proportion of each 5 minute (10 km) grid cell land area that is under pasture. Dark shaded areas denote higher proportion of are under pasture. Data from Moderate Imaging Spectroradiometer (MODIS) land cover product and Satellite Pour l'Observation de la Terre (SPOT) VEGETATION's Global Land Cover 2000 product were combined with UN Food and Agriculture (FAO) agricultural statistics to generate the data set.
Reference: APAAME_20221110_BT-0075
Photographer: Bashar Tabbah
MAP&LENS
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Two images from the SEVIRI instrument aboard Meteosat Second Generation that show recent flooding in West Africa. One image is from mid-October 2012 and the other from mid-October 2008. The Senegal, Niger and Benue rivers all show much larger areas of water in 2012 than they did in 2008. These floods have caused problems all across West Africa, with Nigeria hit particularly hard - Reliefweb states that over 400 have died and more than 1 million forced to move since early July.
The images are composites of the Red, Near-InfraRed and ShortWave-InfraRed bands of the SEVIRI sensor, they are color corrected to more closely resemble the natural color of the landscape. The SEVIRI produces one 'full disk' image every 15 minutes, a unique capability that allows tracking of tropical storms and other severe weather events.
The images were received and processed by the Earth Observation Group at the University of Copenhagen. Please email questions or comments to Simon Proud
Original data Copyright EUMETSAT 2012
Reference: APAAME_20221110_SAlK-0702
Photographer: Sufyan Al Karaimeh
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221115_FBal-88
Photographer: Fadi Bala'wi
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221121_DS-0232
Photographer: Dana Salameen
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
This is a supervised classification of a patch of western Victoria, southwest of Ballarat. The original satellite image was recorded in November 2004.
The idea is to generate statistical models of the characteristic spectra of different vegetation classes, by demarcating 'training regions' on the original Landsat image, and then getting the software to calculate the spectral band means and covariances for those patches. Then, using the statistical descriptions of each vegetation type, the software looks at every pixel in the full scene and decides which of the classes the pixel is most likely to belong to (the maximum likelihood algorithm). This is a small portion of the resulting classified scene.
Pine plantations are colour coded dark blue, dry grazing is pinkish buff or brick orange, eucalypt forest is dark green, wheat is bright blue-green, pasture is bright green, ripe crops and mown hay are yellow, other crops are sage green. The classification was performed in ENVI. Assayed accuracy of the classification was 86%.
By doing this for images taken spaced several years apart, you can count the pixels indicating each land use class in each year, to quantify how much and in what direction agricultural land use has been changing over the years.
The Development Threat Index is part of the Land Use Land Cover collection. The cumulative development threat index is a terrestrial global, future development threat map based on combining these resources: agricultural expansion, urban expansion, conventional oil and gas, unconventional oil and gas, coal, mining, biofuels, solar, and wind. Each threat ranked potential development from 0–100 with 100 indicating the highest potential for future development of the resource and were produced at a 50 square kilometer (km2) grid cell resolution, excluding all cells overlapping Antarctica and those with >50% considered marine. This map displays the projected future development threat of agricultural expansion. The area-ranked threat scores are based on estimates of the fractional amount of agricultural expansion by 2030 extrapolated from 2000–2011 cropland and pasture time series maps.
Foundations of Burkina Faso’s Great Green Wall: Vegetation Growth in the Sahel Since 1982
Student name: Nicolas Karwowski
Supervisor: Dr. Wayne Forsythe
Theme: Environmental
Location: Sahel Region, Burkina Faso
Description: The concept of a Great Green Wall (GGW) across Sahelian Africa has been around since Richard St. Barbe Baker’s expedition in 1952. However, the effects of climate change and poor crop management reignited interest in the idea in the second half of the 20th century. With a formal plan adopted by the African Union in 2007, work has been underway on the GGW for more than a decade, but progress has been widely criticized. Corruption, political instability, and funding issues have all led to delayed results, fueling doubts of the project’s legitimacy.
This study will seek to understand the importance of such a project by evaluating levels of vegetation growth and decay since the beginning of the Landsat satellite imagery program. These trends may bring to light why such a monumental endeavour should or should not be undertaken.
Landscape of rural area in outskirt of Yaounde, Cameroon.
Photo by Mokhamad Edliadi/CIFOR
If you use one of our photos, please credit it accordingly and let us know. You can reach us through our Flickr account or at: cifor-mediainfo@cgiar.org and m.edliadi@cgiar.org
Reference: APAAME_20221110_FB-0304
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Of the mason's who built them, we can say that they both designed as they drew, and drew as they designed. But their designing, like their drawing, was a process of work, not a project of the mind.
Tim Ingold 'Making'
Reference: APAAME_20221123_RHB-0305
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Landscape of rural area in outskirt of Yaounde, Cameroon.
Photo by Mokhamad Edliadi/CIFOR
If you use one of our photos, please credit it accordingly and let us know. You can reach us through our Flickr account or at: cifor-mediainfo@cgiar.org and m.edliadi@cgiar.org
Reference: APAAME_20221123_RHB-0303
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Aerial view of the mountains in northern Papua, Indonesia.
Photo by Mokhamad Edliadi/CIFOR
If you use one of our photos, please credit it accordingly and let us know. You can reach us through our Flickr account or at: cifor-mediainfo@cgiar.org and m.edliadi@cgiar.org
Aerial view of Sentani. Papua.
Photo by Mokhamad Edliadi/CIFOR
If you use one of our photos, please credit it accordingly and let us know. You can reach us through our Flickr account or at: cifor-mediainfo@cgiar.org and m.edliadi@cgiar.org
Aerial shot of an urban landscape.
Photo by Marco Simola/CIFOR
For more information on CIFOR's research on Brazil nuts in Peru, please contact Manuel Guariguata (mailto:m.guariguata@cgiar.org)
If you use one of our photos, please credit it accordingly and let us know. You can reach us through our Flickr account or at: cifor-mediainfo@cgiar.org and m.edliadi@cgiar.org