Estimation of terrestrial net primary production and its temporal-spatial distribution in Henan Province based on GIS and RS
Bibliographic record
Abstract
On the basis on data from the ground meteorological station and remote sensing,and differences in maximum light utilization efficiency,the CASA mode was used to estimate the net primary production(NPP) by the ARCGIS 9.2 and ENVI 4.5 in Henan Province,China.The results of this study showed that NPP in Henan Province was 34.87 Mt C,and its spatial distribution was closely related to vegetation type,indicating that NPP of forest was the biggest,NPP of shrub came to the second,and NPP of grassland and cropland was the third and the fourth.NPP in December,January,and February was the lowest,accounting for 1.38% of annual NPP,and those in May,July,and August were was the biggest,which was 56.84% of annual NPP.Compared to Miami,Montreal,Chinkugo model,this study was similar to results from Miami,and order of vegetation types was similar to order from Chinkugo.This study suggested that the CASA mode predicted well the NPP in Henan Province,and was suitable for simulating the NPP.
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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 | 0.000 | 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".