Estimating the age of cerrado regeneration using Landsat TM data
Bibliographic record
Abstract
Cerrado is a woody savanna formation covering about one fifth of Brazil with a very complex structure and rich biodiversity. Its rate of conversion surpasses that of all other biomes in Brazil. Remote sensing is the only practical means to monitor the evolution of its conversion and regeneration. The objective of this article is to study the process of regeneration of cerrado vegetation after being a eucalyptus plantation for two decades and to estimate its age using multitemporal Landsat Thematic Mapper (TM) data. The study area is a state park in Minas Gerais that was a eucalyptus plantation until 1994 with a broad range of regeneration ages between 13 and 34 years. A total of 47 plots were surveyed for which the exact ages of regeneration are known. Eighteen Landsat TM images were digitally processed to model the reflectance trajectory of the regenerating cerrado and determine its age. Results show that spectral data can be used for estimating the age regeneration up to 30 years with an average accuracy of 3–4 years. In particular, the spectral trajectory of band 5 of TM data shows an almost linear trend that directly relates to the time elapsed after the clearcut.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".