monthly probabilities for acquiring remote sensed data of indonesia with cloud cover less than 10 , 20 and 30 percent
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,...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | مقال NonPeerReviewed |
| منشور في: |
[Yogyakarta] : Universitas Gadjah Mada
1988
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://repository.ugm.ac.id/26396/ http://i-lib.ugm.ac.id/jurnal/download.php?dataId=9416 |
| الوسوم: |
إضافة وسم
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| المؤسسة: | Universitas Gadjah Mada |
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id-ugm-repo.26396 |
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id-ugm-repo.263962014-06-18T00:42:38Z https://repository.ugm.ac.id/26396/ 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 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. [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=9416 |
| 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 |
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. |
| 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/26396/ http://i-lib.ugm.ac.id/jurnal/download.php?dataId=9416 |
| _version_ |
1681218765108281344 |