TY - JOUR
T1 - Effects of climate change on dryland agriculture vegetation index in Nangapanda, East Nusa Tenggara
AU - Buditama, Gilang
AU - Saiya, Halvina G.
AU - Putri, Nadya P.
N1 - Funding Information:
This publication was supported by DRPM (Directorate of Research and Community Service) Universitas Indonesia through PUTI Research Grant with contract number NKB-1271/UN2.RST/HKP.05.00/2020. We would like to extend our gratitude to the people of Nangapanda who have welcomed and helped us in providing the research data. And also, our gratitude to Sanca Pamungkas for helping us to collect data in Nangapanda. And also our gratitude to the Center for Human Resources and Environmental Research (PPSML), School of Environmental Sciences, Universitas Indonesia for the opportunity provided by facilitating us to conduct an initial survey through the use of cooperation funds with contract numbers 358G/UN2.F4.D2.2/LT-KEP.SPK/X/2019. The map for this paper can also be done with the help from the geospatial laboratory (Laboratorium Geospasial) at the School of Environmental Sciences, through using the Map Info Pro license software and ArcGIS ESRI license.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/4/1
Y1 - 2021/4/1
N2 - Dryland agriculture produces agricultural commodities in the food and plantation sectors. However, the potential for dryland agriculture in Indonesia is one of the agricultural bases, which is also threatened by climate anomalies. This research aims to examine one of the climatic factors, namely Land Surface Temperature (LST), which is influenced by environmental carrying capacity factors, namely the vegetation index on the productivity of dryland agriculture. The vegetation indexes used are NDVI, SAVI, and EVI, using Landsat 5 TM and Landsat 8 OLI imagery for 1999, 2004, 2009, 2014, and 2019 then analyzed by statistical regression tests. Another data used are temperature comparison data from the Meteorological Climatological and Geophysical Agency of Indonesia as known as Badan Meteorologi Klimatologi dan Geofisika (BMKG), agricultural productivity data from Statistics Indonesia as known as Badan Pusat Statistik (BPS), and Agricultural Counseling Agency of Nangapanda District as known as Badan Penyuluhan Pertanian (BPP). The result obtained from this research is that there is a significant inverse relationship between the vegetation index and LST. Later, the increase in LST can cause a decrease in the productivity of dryland agriculture.
AB - Dryland agriculture produces agricultural commodities in the food and plantation sectors. However, the potential for dryland agriculture in Indonesia is one of the agricultural bases, which is also threatened by climate anomalies. This research aims to examine one of the climatic factors, namely Land Surface Temperature (LST), which is influenced by environmental carrying capacity factors, namely the vegetation index on the productivity of dryland agriculture. The vegetation indexes used are NDVI, SAVI, and EVI, using Landsat 5 TM and Landsat 8 OLI imagery for 1999, 2004, 2009, 2014, and 2019 then analyzed by statistical regression tests. Another data used are temperature comparison data from the Meteorological Climatological and Geophysical Agency of Indonesia as known as Badan Meteorologi Klimatologi dan Geofisika (BMKG), agricultural productivity data from Statistics Indonesia as known as Badan Pusat Statistik (BPS), and Agricultural Counseling Agency of Nangapanda District as known as Badan Penyuluhan Pertanian (BPP). The result obtained from this research is that there is a significant inverse relationship between the vegetation index and LST. Later, the increase in LST can cause a decrease in the productivity of dryland agriculture.
UR - http://www.scopus.com/inward/record.url?scp=85104179857&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/716/1/012013
DO - 10.1088/1755-1315/716/1/012013
M3 - Conference article
AN - SCOPUS:85104179857
SN - 1755-1307
VL - 716
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012013
T2 - 1st Journal of Environmental Science and Sustainable Development Symposium, JESSD 2020
Y2 - 28 September 2020 through 30 September 2020
ER -
