Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Prasasti , Indah
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PENENTUAN POTENSI LAHAN UNTUK TANAMAN KEDELAI DAN CENGKIH DARI DATA LANDSAT TM DAN IKLIM DI KABUPATEN BANYUWANGI DENGAN SISTEM INFORMASI GEOGRAFIS Parwati, Ety; Prasasti , Indah; Effendy, Iskandar
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3089

Abstract

Clove and soybean are plantations that have high enough economic pontetial. Both of these commodities need suitable land climate condition to grow in optimum. The process of Remote Sensing and climate data with Geographic Information System can determine a suitable land for clove and soybean plantations. Land potential evaluation uses Land Use data that is extracted from Landsat-TM data. The land suitability level is then determined based on climate parameter (rainfall and draught period) and land physical properties for sorbean and clove in Banyuwangi Regency.
PENGKAJIAN PEMANFAATAN DATA TERRA-MODIS UNTUK EKSTRAKSI DATA SUHU PERMUKAAN LAHAN (SPL) BERDASARKAN BEBERAPA ALGORITMA Prasasti , Indah; Sambodo, Katmoko Ari; Carolita , Ita
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 4 No. 1 (2007)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v4i1.3190

Abstract

Land surface temperature (LST) is one primary parameters energy balance on the surface and also as primary climatology variable that controlling long-wave energy flux through atmosphere. The LST data is needed for drought estimating models which based on calculating of soil moisture lavel and/or evapotranspiration. TERRA satellite that brings sensor MODIS (Moderate Resolution Imaging Spectroradiometer) is an evironmental. Observation satellite that can be used for extracting LST data regionally. The MODIS relatively has width coverage; 2330 Km, and spatial resolution 250 m (1 and 2 channel) with high spectral resolution (36 channels), and temporal resolution that almost similar to the previous generation satellite called NOAA.
Co-Authors Carolita , Ita Effendy, Iskandar Ety Parwati Katmoko Ari Sambodo, Katmoko Ari