1986
DOI: 10.1016/0034-4257(86)90069-6
|View full text |Cite
|
Sign up to set email alerts
|

Distinguishing among tallgrass prairie cover types from measurements of multispectral reflectance

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

1990
1990
2021
2021

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 45 publications
(9 citation statements)
references
References 10 publications
0
9
0
Order By: Relevance
“…Near Cocoparra Forest these surfaces derived from agricultural land use were predominantly bare soil, but near Barham Forest they were predominantly senesced annuals of wheat and grass stubble. Senesced praire grassland has been reported to have VIS reflectance of 15 per cent compared with 10 per cent for dry and 5 per cent for wet soil (Asrar et al 1986) Remote Sensing Letters 2119 these surfaces near Barmah (figure 3 (b». Senesced vegetation is also likely to have a lower T R than bare soil (Jackson, 1982) due to higher aerodynamic surface roughness (Choudhury 1989) and higher albedo (Brest and Goward 1987).…”
Section: Discussionmentioning
confidence: 97%
“…Near Cocoparra Forest these surfaces derived from agricultural land use were predominantly bare soil, but near Barham Forest they were predominantly senesced annuals of wheat and grass stubble. Senesced praire grassland has been reported to have VIS reflectance of 15 per cent compared with 10 per cent for dry and 5 per cent for wet soil (Asrar et al 1986) Remote Sensing Letters 2119 these surfaces near Barmah (figure 3 (b». Senesced vegetation is also likely to have a lower T R than bare soil (Jackson, 1982) due to higher aerodynamic surface roughness (Choudhury 1989) and higher albedo (Brest and Goward 1987).…”
Section: Discussionmentioning
confidence: 97%
“…This difference in red and near infrared reflectance has been successfully exploited by a very large number of researchers to estimate the amount of vegetation in grassland (e.g. Deering et al 1975, Deering and Hass 1980, Thalen et al 1980, Curran 1980, Boutton and Tieszen 1983, Grouzis and Methy 1983, Hardisky et al 1984, Wardley and Curran 1984, King et al 1986, Weiser et al 1986, Aase et al 1987. For example, Curran and Williamson (1987) were able to estimate five levels of grass amount to an accuracy (at the 95 per cent confidence level) of up to 82 per cent in June and 97 per cent in August.…”
Section: The Correlation Between a Near Infrared To Red Ratio And Vegmentioning
confidence: 99%
“…Previous studies have successfully used spectroradiometer and satellite data to estimate and assess biophysical characteristics of grassland ecosystems including biomass and leaf area index (Tucker et al 1985;Asrar et al 1986;Briggs and Nellis 1989;Friedl et al 1994;Chen and Brutsaert 1998). In addition, remotely sensed data have been used to discriminate among land cover and grassland types (Asrar et al 1989;Dyer et al 1991;Price et al 1992;Price et al 1993;Dunham and Price 1996).…”
Section: Introductionmentioning
confidence: 96%