File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Simple calibration of AVIRIS data and LAI mapping of forest plantation in southern Argentina

TitleSimple calibration of AVIRIS data and LAI mapping of forest plantation in southern Argentina
Authors
Issue Date2003
Citation
International Journal of Remote Sensing, 2003, v. 24, n. 23, p. 4699-4714 How to Cite?
AbstractDuring the 2001 EO-1 campaign in Argentina, two high spectral resolution image scenes of AVIRIS were acquired at two study sites in the Patagonia region of southern Argentina on 15 February 2001. A total of 70 LAI measurements were taken from different forest types in the same areas one month later, and some spectroradiometric measurements were also collected from the nearby highway and different forest stands in the areas. In this study, we compared the effectiveness of the three types of AVIRIS data used for estimating and mapping LAI. The three types of data correspond to AVIRIS original radiance (OR), corrected radiance (CR) and retrieved surface reflectance (SR). We first simulated the total at-sensor radiances using MODTRAN4, then used ground spectroradiometric measurements taken from different targets to improve the reflectances for each pixel on the image. The CR images were obtained by subtracting path radiance from the OR images. A 10-term LAI prediction model for each type of data was constructed to predict pixel-based LAI values. Finally, the pixel-based LAI value was sliced and mapped for all the three types of images. The results of mapping LAI using the three types of AVIRIS data (OR, CR and SR) indicate that mapping LAI by SR is the most realistic, followed by CR. The poorest results occurs when mapping LAI with OR data due to atmospheric effect. The SR data can lead to higher correlation with LAI in some bands and produce higher accuracy indices for the 10-term predictive model, although some indices from the test set for SR data have a somewhat lower correlation with LAI than those produced with OR data. Therefore, in general, it can be concluded that the retrieved surface reflectance data is more effective for mapping forest LAI compared to the other two types of data.
Persistent Identifierhttp://hdl.handle.net/10722/296543
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 0.776
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPu, R.-
dc.contributor.authorGong, P.-
dc.contributor.authorBiging, G. S.-
dc.date.accessioned2021-02-25T15:16:07Z-
dc.date.available2021-02-25T15:16:07Z-
dc.date.issued2003-
dc.identifier.citationInternational Journal of Remote Sensing, 2003, v. 24, n. 23, p. 4699-4714-
dc.identifier.issn0143-1161-
dc.identifier.urihttp://hdl.handle.net/10722/296543-
dc.description.abstractDuring the 2001 EO-1 campaign in Argentina, two high spectral resolution image scenes of AVIRIS were acquired at two study sites in the Patagonia region of southern Argentina on 15 February 2001. A total of 70 LAI measurements were taken from different forest types in the same areas one month later, and some spectroradiometric measurements were also collected from the nearby highway and different forest stands in the areas. In this study, we compared the effectiveness of the three types of AVIRIS data used for estimating and mapping LAI. The three types of data correspond to AVIRIS original radiance (OR), corrected radiance (CR) and retrieved surface reflectance (SR). We first simulated the total at-sensor radiances using MODTRAN4, then used ground spectroradiometric measurements taken from different targets to improve the reflectances for each pixel on the image. The CR images were obtained by subtracting path radiance from the OR images. A 10-term LAI prediction model for each type of data was constructed to predict pixel-based LAI values. Finally, the pixel-based LAI value was sliced and mapped for all the three types of images. The results of mapping LAI using the three types of AVIRIS data (OR, CR and SR) indicate that mapping LAI by SR is the most realistic, followed by CR. The poorest results occurs when mapping LAI with OR data due to atmospheric effect. The SR data can lead to higher correlation with LAI in some bands and produce higher accuracy indices for the 10-term predictive model, although some indices from the test set for SR data have a somewhat lower correlation with LAI than those produced with OR data. Therefore, in general, it can be concluded that the retrieved surface reflectance data is more effective for mapping forest LAI compared to the other two types of data.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Remote Sensing-
dc.titleSimple calibration of AVIRIS data and LAI mapping of forest plantation in southern Argentina-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/0143116031000082433-
dc.identifier.scopuseid_2-s2.0-0038375658-
dc.identifier.volume24-
dc.identifier.issue23-
dc.identifier.spage4699-
dc.identifier.epage4714-
dc.identifier.isiWOS:000186754100005-
dc.identifier.issnl0143-1161-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats