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...
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| Format: | Article |
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[Yogyakarta] : Universitas Gadjah Mada
1988
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| _version_ | 1826032004184932352 |
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| author | Perpustakaan UGM, i-lib |
| author_facet | Perpustakaan UGM, i-lib |
| author_sort | Perpustakaan UGM, i-lib |
| collection | UGM |
| 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 |
| first_indexed | 2024-03-05T23:01:53Z |
| format | Article |
| id | oai:generic.eprints.org:22142 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T18:46:39Z |
| publishDate | 1988 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org: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 |
| 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 |
| title | 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_short | 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 |
| topic | Jurnal i-lib UGM |
| work_keys_str_mv | AT perpustakaanugmilib monthlyprobabilitiesforacquiringremotesenseddataofindonesiawithcloudcoverlessthan1020and30percent |