Monthly Probabilities For Acquiring Remote Sensed Data Of Indonesia With Cloud Cover Less Than 10 , 20 And 30 Percent

Monthly Probabilities For Acquiring Remote Sensed Data Of Indonesia With Cloud Cover Less Than 10 , 20 And 30 Percent

ABSTRACT The Indonesian spatiotemporal cloud cover distribution was quantified with the aid of GMS, Landsat and SPOT data. Iterative interactive factorial analyses grouped pixels with similar profiles into 18 classes for all land areas. For each class, statistics of Landsat and SPOT images, grouped...

Full description

Saved in:
Bibliographic Details
Main Author: Perpustakaan UGM, i-lib
Format: Article NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 1988
Subjects:
Jurnal i-lib UGM
Online Access:https://repository.ugm.ac.id/22142/
http://i-lib.ugm.ac.id/jurnal/download.php?dataId=5023
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universitas Gadjah Mada
id id-ugm-repo.22142
record_format dspace
spelling id-ugm-repo.221422014-06-18T00:42:30Z https://repository.ugm.ac.id/22142/ Monthly Probabilities For Acquiring Remote Sensed Data Of Indonesia With Cloud Cover Less Than 10 , 20 And 30 Percent Perpustakaan UGM, i-lib Jurnal i-lib UGM ABSTRACT The Indonesian spatiotemporal cloud cover distribution was quantified with the aid of GMS, Landsat and SPOT data. Iterative interactive factorial analyses grouped pixels with similar profiles into 18 classes for all land areas. For each class, statistics of Landsat and SPOT images, grouped by class, were used to verify, calibrate and improve class profiles. This led to quantified temporal profiles of probability of acquiring remotely sensed data with 10 , 20 and 30 percent cloud cover, for any Indonesian land area Kata Kunci.: montrhly probabilities - data - images [Yogyakarta] : Universitas Gadjah Mada 1988 Article NonPeerReviewed Perpustakaan UGM, i-lib (1988) Monthly Probabilities For Acquiring Remote Sensed Data Of Indonesia With Cloud Cover Less Than 10 , 20 And 30 Percent. Jurnal i-lib UGM. http://i-lib.ugm.ac.id/jurnal/download.php?dataId=5023
institution Universitas Gadjah Mada
building UGM Library
country Indonesia
collection Repository Civitas UGM
topic Jurnal i-lib UGM
spellingShingle Jurnal i-lib UGM
Perpustakaan UGM, i-lib
Monthly Probabilities For Acquiring Remote Sensed Data Of Indonesia With Cloud Cover Less Than 10 , 20 And 30 Percent
description ABSTRACT The Indonesian spatiotemporal cloud cover distribution was quantified with the aid of GMS, Landsat and SPOT data. Iterative interactive factorial analyses grouped pixels with similar profiles into 18 classes for all land areas. For each class, statistics of Landsat and SPOT images, grouped by class, were used to verify, calibrate and improve class profiles. This led to quantified temporal profiles of probability of acquiring remotely sensed data with 10 , 20 and 30 percent cloud cover, for any Indonesian land area Kata Kunci.: montrhly probabilities - data - images
format Article
NonPeerReviewed
author Perpustakaan UGM, i-lib
author_facet Perpustakaan UGM, i-lib
author_sort Perpustakaan UGM, i-lib
title Monthly Probabilities For Acquiring Remote Sensed Data Of Indonesia With Cloud Cover Less Than 10 , 20 And 30 Percent
title_short Monthly Probabilities For Acquiring Remote Sensed Data Of Indonesia With Cloud Cover Less Than 10 , 20 And 30 Percent
title_full Monthly Probabilities For Acquiring Remote Sensed Data Of Indonesia With Cloud Cover Less Than 10 , 20 And 30 Percent
title_fullStr Monthly Probabilities For Acquiring Remote Sensed Data Of Indonesia With Cloud Cover Less Than 10 , 20 And 30 Percent
title_full_unstemmed Monthly Probabilities For Acquiring Remote Sensed Data Of Indonesia With Cloud Cover Less Than 10 , 20 And 30 Percent
title_sort monthly probabilities for acquiring remote sensed data of indonesia with cloud cover less than 10 , 20 and 30 percent
publisher [Yogyakarta] : Universitas Gadjah Mada
publishDate 1988
url https://repository.ugm.ac.id/22142/
http://i-lib.ugm.ac.id/jurnal/download.php?dataId=5023
_version_ 1681217965540769792

Similar Items