| Autor: |
Arnaud Caiserman, Dominique Dumas, Karine Bennafla, Ghaleb Faour, Farshad Amiraslani |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Agriculture, Vol 9, Iss 3, p 57 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2077-0472 |
| DOI: |
10.3390/agriculture9030057 |
| Popis: |
Based on remotely sensed imagery and socioeconomic data, this research analyzes the reasons why farmers choose one crop over another in the Bekaa Valley in Lebanon. This study mapped the area of the cultivated crop in 2017 with Sentinel-2 images. An accurate and new method was developed to extract the field boundaries from the evolution of the normalized difference vegetation index (NDVI) profile throughout the season. We collected 386 GPS locations for fields that are used for crop cultivation, from which the NDVI profile was extracted. The 386 reference fields were separated into two groups: reference locations and test locations. The Euclidean distance (ED) was calculated between these two groups, and the classification was strongly correlated to the known crop type in the field (overall accuracy: 90%). Our study area cultivated wheat (32%), spring potatoes (25%), spring vegetables (27%), orchards (11%), vineyards (7%), and alfalfa ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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