Biodiversity from the Sky: Testing the Spectral Variation Hypothesis in the Brazilian Atlantic Forest DOI Creative Commons

Tobias Baruc Moreira Pinon,

Adriano Ribeiro de Mendonça, Gilson Fernandes da Silva

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(23), С. 4363 - 4363

Опубликована: Ноя. 22, 2024

Tropical forests have high species richness, being considered the most diverse and complex ecosystems in world. Research on variation maintenance of biodiversity these is important for establishing conservation strategies. The main objective this study was to test Spectral Variation Hypothesis through associations between diversity richness measured field hyperspectral data collected by a Remotely Piloted Aircraft (RPA) areas with secondary tropical forest Brazilian Atlantic Forest biome. Specific objectives were determine which dispersion measurements, standard deviation (SD) or coefficient (CV), estimated n pixels occurring within each sampling unit, better explains diversity; effects pixel size direction intensity relationship; shaded unit. spectral variability hypothesis confirmed biome, R2 0.83 0.76 0.69 Shannon Simpson indices, respectively, using 1.0 m illuminated pixels. (CV SD) bands strongly correlated taxonomic red-edge near-infrared (NIR) regions electromagnetic spectrum. Pixel affected values, higher (0.83) lower 10.0 (0.71). Additionally, had values than those under shadow effects. variables selected as metrics regression models mean CV, CV 726.7 nm band, SD 742.3 933.4 bands. Our results suggest that can serve proxy Forest. However, factors affect relationship, such used, size, images, should be considered.

Язык: Английский

Harnessing artificial intelligence to fill global shortfalls in biodiversity knowledge DOI Creative Commons
Laura J. Pollock, Justin Kitzes, Sara Beery

и другие.

Опубликована: Фев. 20, 2025

Язык: Английский

Процитировано

0

Spectral Diversity as a Predictor of Tree Diversity: Exploring Challenges and Opportunities Across Forest Ecosystems DOI Creative Commons
Jennifer Donnini, Angela Kross, Camilo Alejo

и другие.

Canadian Journal of Remote Sensing, Год журнала: 2024, Номер 50(1)

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1

Biodiversity from the Sky: Testing the Spectral Variation Hypothesis in the Brazilian Atlantic Forest DOI Creative Commons

Tobias Baruc Moreira Pinon,

Adriano Ribeiro de Mendonça, Gilson Fernandes da Silva

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(23), С. 4363 - 4363

Опубликована: Ноя. 22, 2024

Tropical forests have high species richness, being considered the most diverse and complex ecosystems in world. Research on variation maintenance of biodiversity these is important for establishing conservation strategies. The main objective this study was to test Spectral Variation Hypothesis through associations between diversity richness measured field hyperspectral data collected by a Remotely Piloted Aircraft (RPA) areas with secondary tropical forest Brazilian Atlantic Forest biome. Specific objectives were determine which dispersion measurements, standard deviation (SD) or coefficient (CV), estimated n pixels occurring within each sampling unit, better explains diversity; effects pixel size direction intensity relationship; shaded unit. spectral variability hypothesis confirmed biome, R2 0.83 0.76 0.69 Shannon Simpson indices, respectively, using 1.0 m illuminated pixels. (CV SD) bands strongly correlated taxonomic red-edge near-infrared (NIR) regions electromagnetic spectrum. Pixel affected values, higher (0.83) lower 10.0 (0.71). Additionally, had values than those under shadow effects. variables selected as metrics regression models mean CV, CV 726.7 nm band, SD 742.3 933.4 bands. Our results suggest that can serve proxy Forest. However, factors affect relationship, such used, size, images, should be considered.

Язык: Английский

Процитировано

1