anÁlise temporal do uso do solo e comparaÇÃo entre os Índices de vegetaÇÃo ndvi e savi no municÍpio de santa cruz do rio pardo – sp usando imagens landsat-5
Clicks: 212
ID: 176330
2011
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
212 views
25 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #34 of 94 articles by views in biomaterials
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The current essay intends to analyze the temporal soil use evolution in the city of Santa Cruz do Rio Pardo – SP through the supervised classification of the satellite images Landsat-5 TM according to the maximum likelihood, as well as verify the mapping accuracy by Kappa coefficient, compare the NDVI and SAVI vegetation indexes in different understanding factors for the canopy substrate and determine the vegetal cover percentage in all methods used on 05-26-2007, 01-07-2009 and 04-29-2009. The Maxver classification showed clearly several spatial changes in the soil use in the considered period. The most appropriated vegetation indexes were the NDVI and SAVI – 0,25 factor, which showed similar values of vegetal cover percentage, but discrepant in respect to the inferred value for MAXVER classification.
| Reference Key |
demarchi2011revistaanlise
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Julio Cesar DEMARCHI;Edson Luís PIROLI;Célia Regina Lopes ZIMBACK |
| Journal | biomaterials |
| Year | 2011 |
| DOI |
10.5380/raega.v21i0.17416
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.