Search Results - "Amore, Diogo"

The influence of land use/land cover variability and rainfall intensity in triggering landslides: a back-analysis study via physically based models by Ávila, Frederico F., Alvalá, Regina C., Mendes, Rodolfo M., Amore, Diogo J.

“…The objective of this study was to use physically based models to carry out a back-analysis of the set of factors that may have influenced slope instability…”
Get full text

Socio-geoenvironmental vulnerability index (SGeoVI) derived from hybrid modeling related to populations at-risk to landslides by de Ávila, Frederico Fernandes, Alvalá, Regina C., Mendes, Rodolfo M., Amore, Diogo J.

“…In the present study, we propose a transdisciplinary investigation aimed at developing an index to assess the vulnerability to landslides in the Brazilian…”
Get full text

Hydrometeorological drought analysis through Two-variate Standardized Index for the Paraná River Basin, Brazil by Cuartas, Luz Adriana, Fujita, Thais, Andrade Campos, Juliana, Uvo, Cintia Bertacchi, Nikravesh, Gholamreza, Olsson, Jonas, Sörensen, Johanna, Marengo, José Antonio, Amore, Diogo, Broedel, Elisangela, Peixoto, Jerusa

“…Brazil has faced severe droughts in recent decades, significantly affecting agriculture, water supply, and hydropower generation, among other sectors. The…”
Get full text

Amazon forest biogeography predicts resilience and vulnerability to drought by Chen, Shuli, Stark, Scott C., Nobre, Antonio Donato, Cuartas, Luz Adriana, de Jesus Amore, Diogo, Restrepo-Coupe, Natalia, Smith, Marielle N., Chitra-Tarak, Rutuja, Ko, Hongseok, Nelson, Bruce W., Saleska, Scott R.

“…Amazonia contains the most extensive tropical forests on Earth, but Amazon carbon sinks of atmospheric CO 2 are declining, as deforestation and…”
Get full text

Author Correction: Amazon forest biogeography predicts resilience and vulnerability to drought by Chen, Shuli, Stark, Scott C., Nobre, Antonio Donato, Cuartas, Luz Adriana, de Jesus Amore, Diogo, Restrepo-Coupe, Natalia, Smith, Marielle N., Chitra-Tarak, Rutuja, Ko, Hongseok, Nelson, Bruce W., Saleska, Scott R.

Get full text

Potential of hyperspectral metrics and classifiers for mapping Brazilian savannas in the rainy and dry seasons by Toniol, Alana Carla, Galvão, Lênio Soares, Ponzoni, Flávio Jorge, Sano, Edson Eyji, de Jesus Amore, Diogo

“…Land cover mapping of savannas in Brazil, a world's hotspot of biodiversity, is still challenging due to the tree cover gradient and the spectral similarity…”
Get full text