land use / land cover area (ha) spatial distribution of...
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MATERIALS AND METHODS - Satellite imagery: MODIS-250m, 16-day reflectance composites were used to derive Normalized Difference Vegetation Index (NDVI), Land Surface Water Index (LSWI) and the NDVI Monthly Maximum Value Composites (NDVI-MVC) for the year 2014-15.
Extensive ground survey information: Ground information was collected during October 2014, on land use/land cover including irrigation source, crop intensity. A total of 540(262 +278) locations were recorded along with Photographs.
Key Methods: Temporal NDVI curves illustrate the crop growth within the growing period and also the length of growing period. It also informs the planting date, peak growth and harvesting stage (Gumma et al., 2011, 2014).
REFERENCES – Gumma, M.K., Nelson, A., Thenkabail, P.S., Singh, A.N., 2011. Mapping rice areas of South Asia using MODIS multi-temporal data. Journal of Applied Remote Sensing 5, 053547. Gumma, M.K., Thenkabail, P.S., Maunahan, A., Islam, S., Nelson, A., 2014. Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500m data for the year 2010. ISPRS Journal of Photogrammetry and Remote Sensing 91(5), 98-113.
RESULTS 1. Spatial extent of cropland were mapped in Ethiopia using NDVI based temporal profiles, phenological signatures 2. Developed a land use map for 2014-15.
ABSTRACT: Overarching goal is to map the cropland areas of Ethiopia using moderate-
resolution imaging spectroradiometer (MODIS) time-series data for the year 2014. The population of the region is growing faster than its ability to produce cereals. Thus, accurate and timely assessment of where and how cereals are cultivated is important to craft food security and poverty alleviation strategies. We used a time series of sixteen-day, 250-m spatial resolution composite images from the MODIS sensor to produce crop type maps, intensity of cropping, cropping calendar for the year 2014. A suite of methods that include spectral matching techniques, decision trees using ideal spectral profile data banks to rapidly identify and classify crop areas over large spatial extents. These methods are used in conjunction with ancillary spatial data sets (e.g., elevation, precipitation), national statistics, and maps, along with appropriately sampled ground survey data. A fuzzy classification accuracy assessment was conducted for 2014 crop land product with demonstrated accuracies ranging from 77% to 100% for cropland classes, with an overall accuracy of 82% for all classes. These results suggest that the methods, approaches, algorithms, and data sets we used are ideal for rapid, accurate, and large-scale mapping of major crops.
INTRODUCTION - Ethiopia’s agriculture, with varied agro-ecosystems from broad ranges in altitude (110m to 4620m) and multiple crops is mostly subsistence by small holder farmers. Major cereals like Tef, Maize, Wheat, Sorghum and Barley occupy almost 1/3 of the cultivated area. In Ethiopia belg and meher are the two main crop seasons, which receive rainfall from February to June and from June to October, respectively. The meher crop season is the main season and produces 90-95 percent of the nation’s total cereals output, and the belg harvest provides the remaining 5-10 percent of cereal output. For the belg harvest, corn accounts from one-third to nearly one-half of the belg’s cereal production and the remaining belg output comprises of mostly short-cycle wheat, barley, and teff. coffee, sesame, chickpea, beans and sugarcane are some cash crops. Nearly 47% of the country’s 113 m ha land area is covered by semi-arid and dry sub-humid climatic zones
Spatial Distribution of croplands in Ethiopia
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Land use / land cover Area (ha)
01. Tef 39,83,045
02. Wheat 5,39,519
03. Wheat / Faba bean 13,10,152
04. Barely 8,49,443
05. Barely / Sorghum 16,82,131
06. Sorghum 8,58,706
07. Maize 25,36,256
08. Maize / Legumes 4,17,684
09. Millet / Beans 3,50,367
10. Rice 1,57,956
Land use / land cover Area (ha)
11. Oilseeds 4,96,611
12. Sugarcane/Mixed crops 3,98,824
13. Mixedcrops 40,25,481
14. Plantation 17,40,015
15. Rangeland/Fallow 93,13,844
16. Rangeland/Shrubland 2,91,80,912
17. Shrubland/Wasteland trees 3,35,11,055
18. Barren land/ Sand dunes 1,54,79,323
19. Waterbodies 7,01,454
20. Built-up 34,866
21. Forest 67,79,164
Land use / land cover Area (ha)
04. Barely 849,443
05. Barely/ Sorghum 1,682,131
06. Sorghum 858,706
Gumma MK1, Uppala D1, Thenkabail PS2, Xiong J2, Mohammed I1 , Tilahun A and Whitbread A1
1 International Crops Research Institute for the Semi-Arid Tropics; 2 U.S. Geological Survey (USGS), Western Geographic Science Center, Flagstaff, AZ, USA. For more information: [email protected]
01. Tef
02. Wheat
03. Wheat / Faba bean
04. Barley
05. Barley / Sorghum
06. Sorghum
07. Maize
08. Maize / Legumes
09. Millet / Beans
10. Rice
11. Oilseeds
12. Sugarcane / Mixedcrops
13. Mixedcrops
14. Plantation
15. Rangeland / Fallow
16. Waterbodies
Other LULC
Ethiopia province
Crop type : Barley, Sorghum
04. Barley
05. Barley/ Sorghum
06. Sorghum
Other Landuse
Othercrops
Ethiopia province