# High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach

*PRI Rank #19 · 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-19*

| Field | Value |
| --- | --- |
| Rank | #19 |
| 18m citations | 36 |
| Journal | International Journal of Applied Earth Observation and Geoinformation |
| Year | 2024 |
| DOI | 10.1016/j.jag.2024.103711 |
| Corresponding authors | Martin A. Schwartz |
| Institution | Université Paris Saclay, France |

**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.jag.2024.103711](https://doi.org/10.1016/j.jag.2024.103711)

## Topics

canopy height · Landes de Gascogne forest · maritime pine plantation · GEDI waveforms · Sentinel satellite data · Sentinel satellite data · U-Net model · multi-sensor remote sensing · 10 m spatial resolution · even-aged monospecific stands · intensive forest management · composite time averages · forest inventory · Skysat stereo 3D reconstruction · dominant height retrieval · multi-band imagery · SAR backscatter · coniferous forest validation

## 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
```