Back to results
Bibliographic record · Consultation and access
Artículo

Ecological condition indicators for dry forest: Forest structure variables estimation with NDVI texture metrics and SAR variables

Alvarez, Maria Paula et al · Elsevier · 2025

Supplementary material available
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Resource access

Open the content from the main option or choose another available source.

CONICET Digital CONICET Digital OAI-PMH
Entrar por CONICET Digital
Main access

Supplementary material available

El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Open material

Summary

Descripción general del contenido del recurso.

The ecological condition of forest ecosystems is degraded. Limited prior research in vegetationhas focused on monitoring ecological condition levels in dry forest at fine scale. We proposeda novel approach to obtain accurate indicators of the ecological condition of the ChacoSerrano forest (Córdoba, Argentina) by estimating forest structure variables (canopy cover (),diameter breast height (_), number of woody individuals ( ) and two first axesof a principal component analysis (1 and 2)) as a measure of forest degradation. Toachieve this, first the correlation with two complementary groups of remote sensing deriveddata (texture metrics over Normalised difference vegetation index and SAR-derived data) wasexplored. Then, General linear models (GLM) were constructed using the most correlatedremote sensing derived variables with forest structure variables as predictor variables. Thebest estimation was obtained to (2=0.58, rmse=14,5%), followed by (2=0.37,rmse=156.6) and (2=0.22, rmse=14.6), with an spatial arrangement consistent with fieldobservations. Moreover, estimation was more accurate than those at regional and globalscale, and highlights the importance of developing local models in areas that exhibit highecological, geological, and human heterogeneity. In addition, other forest variables could also beevaluated, like floristic composition or others associated with functioning. Results offer valuableinsights for developing management strategies suitable for each condition, and for future studiesregarding the relationship of the mentioned condition and associated natural and anthropicfactors. Fil: Alvarez, Maria Paula. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina Fil: Bellis, Laura Marisa. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Alvarez, M. P. E. A. (2025). Ecological condition indicators for dry forest: Forest structure variables estimation with NDVI texture metrics and SAR variables. http://hdl.handle.net/11336/271871

MLA

Alvarez, Maria Paula et al. "Ecological condition indicators for dry forest: Forest structure variables estimation with NDVI texture metrics and SAR variables." 2025. http://hdl.handle.net/11336/271871.

Chicago

Alvarez, Maria Paula et al. 2025. "Ecological condition indicators for dry forest: Forest structure variables estimation with NDVI texture metrics and SAR variables.". http://hdl.handle.net/11336/271871.

Harvard

Alvarez, M. P. E. A. 2025, Ecological condition indicators for dry forest: Forest structure variables estimation with NDVI texture metrics and SAR variables, Elsevier, available at: http://hdl.handle.net/11336/271871 [Accessed 7 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
Ecological condition indicators for dry forest: Forest structure variables estimation with NDVI texture metrics and SAR variables
Author / contributors
Alvarez, Maria Paula et al
Publisher
Elsevier
Publication year
2025
ISSN
2352-9385
ISSN
2352-9385
Language
English

Subjects

Explore related resources through these subjects.

Copied