eprintid: 4326
rev_number: 9
eprint_status: archive
userid: 46
dir: disk0/00/00/43/26
datestamp: 2022-09-03 03:32:45
lastmod: 2022-09-03 17:11:01
status_changed: 2022-09-03 03:32:45
type: thesis
metadata_visibility: show
creators_name: Nur Sidik, Gema
creators_name: Denih, Asep
creators_name: Herdianto Situmorang, Boldson
creators_NPM: 065117238
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_name: Denih, Asep
contributors_name: Herdianto Situmorang, Boldson
contributors_NIDN: 0406097101
contributors_NIDN: 0404077905
corp_creators: Universitas Pakuan
corp_creators: FMIPA
corp_creators: lmu Komputer
title: ESTIMASI EVAPOTRANSPIRASI MENGGUNAKAN TEKNOLOGI 
PENGINDRAAN JAUH DI KOTA BOGOR
ispublished: pub
subjects: QK
divisions: sch_ecs
full_text_status: none
abstract: iration carried out in Indonesia is carried out through 
direct observation so that it only measures evapotranspiration at certain points. Remote 
sensing technology can be used to measure evapotranspiration widely because the data 
obtained is in the form of satellite images. This study focuses on the application of the ETindex 
Estimation Algorithm to calculate the value of the evapotranspiration index and the Penman�Monteith method to calculate the value of potential evapotranspiration, in which these two 
parameters are used to obtain the actual evapotranspiration value. In addition to satellite 
imagery, observational data from the Bogor Climatology Station is also used as supporting 
and comparison data. In areas with high vegetation, the range of values is 1.122 mm/day–
1.326 mm/day, which is very different from the observed value, which is 3.9144 mm/day. 
Although the predicted value differs greatly from the observed value, the correlation between 
the vegetation index, temperature, evapotranspiration index, and potential evapotranspiration 
indicates that the basis for this research and method is very much in line with previous studies.
Keywords: evapotranspiration, remote sensing, satellite imagery, evapotranspiration indexiration carried out in Indonesia is carried out through 
direct observation so that it only measures evapotranspiration at certain points. Remote 
sensing technology can be used to measure evapotranspiration widely because the data 
obtained is in the form of satellite images. This study focuses on the application of the ETindex 
Estimation Algorithm to calculate the value of the evapotranspiration index and the Penman�Monteith method to calculate the value of potential evapotranspiration, in which these two 
parameters are used to obtain the actual evapotranspiration value. In addition to satellite 
imagery, observational data from the Bogor Climatology Station is also used as supporting 
and comparison data. In areas with high vegetation, the range of values is 1.122 mm/day–
1.326 mm/day, which is very different from the observed value, which is 3.9144 mm/day. 
Although the predicted value differs greatly from the observed value, the correlation between 
the vegetation index, temperature, evapotranspiration index, and potential evapotranspiration 
indicates that the basis for this research and method is very much in line with previous studies.
Keywords: evapotranspiration, remote sensing, satellite imagery, evapotranspiration index
date: 2021-08
date_type: published
institution: Universitas Pakuan
department: Ilmu Komputer
thesis_type: Skripsi
thesis_name: Sarjana
citation:   Nur Sidik, Gema and Denih, Asep and Herdianto Situmorang, Boldson  (2021) ESTIMASI EVAPOTRANSPIRASI MENGGUNAKAN TEKNOLOGI PENGINDRAAN JAUH DI KOTA BOGOR.  Skripsi thesis, Universitas Pakuan.