Enhanced forest cover mapping using spectral unmixing and object-based classification of multi-temporal Landsat imagery

By David Gudex‐Cross, J. Pontius, Alison B. Adams. 2017

60 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/638b44b4761c348536b6df335c0fb7927699ae14

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Lars T. Waser

In Ecology

1. Misganu Debella-Gilo
2. Lars T. Waser
3. Stefano Puliti
4. Rasmus Astrup
5. Johannes Schumacher
6. Johannes Breidenbach
7. Johannes Rahlf
8. Marius Hauglin

In Environmental Engineering

1. Lars T. Waser
2. Rasmus Astrup
3. Johannes Schumacher
4. Johannes Breidenbach
5. Marius Hauglin

Citations in the corpus

• National mapping and estimation of forest area by dominant tree species using Sentinel-2 data (2020, methodology): “Because Landsat has one of the longest records of consistent earth observation data, it has been used for tree species and forest type classification since the 1980s (e.g. Walsh 1980, Wolter et al. 1995, Gudex-Cross et al. 2017, Adams et al. 2020).”