Estimating forest area using remote sensing and regression estimator
Area estimates using remotely sensed data is an important subject that has been investigated around the world during the last decade. It plays an important role in the production of vegetation statistic when area frame sample design is used using regression estimator. This technique is used widely i...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2006
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| Online Access: | http://psasir.upm.edu.my/id/eprint/7645/ |
| _version_ | 1848840653799161856 |
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| author | Ismail, Mohd Hasmadi Jusoff, Kamaruzaman |
| author_facet | Ismail, Mohd Hasmadi Jusoff, Kamaruzaman |
| author_sort | Ismail, Mohd Hasmadi |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Area estimates using remotely sensed data is an important subject that has been investigated around the world during the last decade. It plays an important role in the production of vegetation statistic when area frame sample design is used using regression estimator. This technique is used widely in estimation of crop area and yield. This work is carried out utilizing the same method but tested for the tropical forest in Malaysia. The estimates have been conducted using direct expansion from sample survey and regression estimator approaches. The latter result using regression of ground data and satellite data seem more reliable when training pixels are chosen at random subset of the area sampling frame. The regression analyses showed all the land cover class had a very high correlation (r2 = 0.86 to 0.89). This method is not only practical with accurate estimation for this task but also does not haveany additional time and cost implications. |
| first_indexed | 2025-11-15T07:30:46Z |
| format | Conference or Workshop Item |
| id | upm-7645 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T07:30:46Z |
| publishDate | 2006 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-76452015-01-09T03:32:30Z http://psasir.upm.edu.my/id/eprint/7645/ Estimating forest area using remote sensing and regression estimator Ismail, Mohd Hasmadi Jusoff, Kamaruzaman Area estimates using remotely sensed data is an important subject that has been investigated around the world during the last decade. It plays an important role in the production of vegetation statistic when area frame sample design is used using regression estimator. This technique is used widely in estimation of crop area and yield. This work is carried out utilizing the same method but tested for the tropical forest in Malaysia. The estimates have been conducted using direct expansion from sample survey and regression estimator approaches. The latter result using regression of ground data and satellite data seem more reliable when training pixels are chosen at random subset of the area sampling frame. The regression analyses showed all the land cover class had a very high correlation (r2 = 0.86 to 0.89). This method is not only practical with accurate estimation for this task but also does not haveany additional time and cost implications. 2006 Conference or Workshop Item PeerReviewed Ismail, Mohd Hasmadi and Jusoff, Kamaruzaman (2006) Estimating forest area using remote sensing and regression estimator. In: 2nd WSEAS International Conference on Remote Sensing, 16-18 Dec. 2006, Tenerife, Canary Islands, Spain. (pp. 88-94). |
| spellingShingle | Ismail, Mohd Hasmadi Jusoff, Kamaruzaman Estimating forest area using remote sensing and regression estimator |
| title | Estimating forest area using remote sensing and regression estimator |
| title_full | Estimating forest area using remote sensing and regression estimator |
| title_fullStr | Estimating forest area using remote sensing and regression estimator |
| title_full_unstemmed | Estimating forest area using remote sensing and regression estimator |
| title_short | Estimating forest area using remote sensing and regression estimator |
| title_sort | estimating forest area using remote sensing and regression estimator |
| url | http://psasir.upm.edu.my/id/eprint/7645/ |