# Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region

*PRI Rank #1 · Topics and Trends in Most Cited Forest ecology and management Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/forest-ecology-and-management/2026/rank-1*

| Field | Value |
| --- | --- |
| Rank | #1 |
| 18m citations | 100 |
| Journal | Ecological Informatics |
| Year | 2024 |
| DOI | 10.1016/j.ecoinf.2024.102732 |
| Corresponding authors | Shoaib Ahmad Anees, Mi Luo |
| Institution | The University of Agriculture, Pakistan |

**Ranking page:** [Topics and Trends in Most Cited Forest ecology and management Papers, Class of 2026](https://pri.pepkio.com/top-papers/forest-ecology-and-management/2026)

**Paper link:** [10.1016/j.ecoinf.2024.102732](https://doi.org/10.1016/j.ecoinf.2024.102732)

## Topics

aboveground biomass (AGB) · Landsat-9 · XGBoost · Support Vector Regression (SVR) · Random Forest · Multiple Linear Regression (MLR) · Vegetation indices · Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) · Landsat Operational Land Imager (OLI) · spectral band B4 · spectral band B5 · TNDVI · NDVI · RVI · GNDVI · Topographic Wetness Index (TWI) · temperate forests · Himalayan region · predictor-algorithm combinations · aboveground biomass (AGB)

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Forest ecology and management Papers, Class of 2026. https://pri.pepkio.com/top-papers/forest-ecology-and-management/2026. Accessed 2026-07-23.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```