Geospatial solutions for evaluating the impact of the Tigray conflict on farming

Demissie, Biadgilgn; Nyssen, Jan; Annys, Sofe; Negash, Emnet; Gebrehiwet, Tesfakiros; Abay, Fetien; Wolf, Eleonore

doi:10.1007/s11600-022-00779-7

Artykuł - szczegóły

Tytuł artykułu

Geospatial solutions for evaluating the impact of the Tigray conflict on farming

Autorzy

Demissie Biadgilgn , Nyssen Jan , Annys Sofe , Negash Emnet , Gebrehiwet Tesfakiros , Abay Fetien , Wolf Eleonore

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-022-00779-7

Warianty tytułu

Języki publikacji

Abstrakty

Military conflicts strongly affect agricultural activities. This has strong implications for people’s livelihoods when agriculture is the backbone of the economy. We assessed the effect of the Tigray conflict on farming activities using freely available remote sensing data. For detecting greenness, a normalized difference vegetation Index (NDVI) was analyzed in Google Earth Engine (GEE) using Sentinel 2 satellite images acquired in the pre-war (2020) and during war (2021) spring seasons. CHIRPS data were analyzed in GEE to understand the rainfall conditions. The NDVI of 2020 showed that farmlands were poorly covered with vegetation. However, in 2021, vegetation cover existed in the same season. The NDVI changes stretched from −0.72 to 0.83. The changes in greenness were categorized as increase (2167 km2 ), some increase (18,386 km2 ), no change (1.6 km2 ), some decrease (8269 km2 ), and decrease (362 km2 ). Overall, 72% of the farmlands have seen increases in green vegetation before crops started to grow in 2021. Scattered patches with decreases in vegetation cover correspond to irrigation farms and spring-cropping rain-fed farms uncultivated in 2021. There was no clear pattern of changes in vegetation cover as a function of agro-climatic conditions. The precipitation analysis shows less rainfall in 2021 as compared to 2020, indicating that precipitation has not been an important factor. The conflict is most responsible for fallowing farmlands covered with weeds in the spring season of 2021. The use of freely accessible remote sensing data helps recognizing absence of ploughing in crisis times.

Słowa kluczowe

remote sensing agricultural activity resilience Vegetation Index humanitarian crisis war

teledetekcja działalność rolnicza odporność wskaźnik roślinności kryzys humanitarny wojna

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2022

Tom

Vol. 70, no 3

Strony

1285--1299

Opis fizyczny

Bibliogr. 52 poz.

Twórcy

autor

Demissie Biadgilgn

biadgilgnd@gmail.com

Department of Geography and Environmental Studies, Mekelle University, Mekelle, Ethiopia
Institute of Geoinformation and Earth Observation Sciences, Mekelle University, Mekelle, Ethiopia
Department of Geography, Ghent University, Ghent, Belgium
Department of Geosciences, Environment and Society, Université Libre De Bruxelles (ULB), Bruxelles, Belgium

https://orcid.org/0000-0002-3082-9560

autor

Nyssen Jan

Department of Geography, Ghent University, Ghent, Belgium

autor

Annys Sofe

Department of Geography, Ghent University, Ghent, Belgium

autor

Negash Emnet

Department of Geography, Ghent University, Ghent, Belgium
Institute of Climate and Society, Mekelle University, Mekelle, Ethiopia 6 Department of Dryland Crop and Horticulture Science, Mekelle University, Mekelle, Ethiopia

autor

Gebrehiwet Tesfakiros

Institute of Geoinformation and Earth Observation Sciences, Mekelle University, Mekelle, Ethiopia

autor

Abay Fetien

autor

Wolf Eleonore

Department of Geosciences, Environment and Society, Université Libre De Bruxelles (ULB), Bruxelles, Belgium

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-eee882c5-1d42-4376-b012-5198b7623e87