Long|Term Landsat|Based Monthly Burned Area Dataset for ...

Long-Term Landsat-Based Monthly Burned Area Dataset for ... - MDPI

Long-term landsat-based monthly burned area dataset for the Brazilian biomes using deep learning.

(PDF) Long-Term Landsat-Based Monthly Burned Area Dataset for ...

This novel dataset is crucial for understanding the spatial and long-term temporal dynamics of fire regimes that are fundamental for designing ...

Long-Term Landsat-Based Monthly Burned Area Dataset for the ...

NASA/ADS · Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning.

Long-Term Landsat-Based Monthly Burned Area Dataset for the ...

Fire is a significant agent of landscape transformation on Earth, and a dynamic and ephemeral process that is challenging to map. Difficulties include the ...

Long-Term Landsat-Based Monthly Burned Area Dataset for the ...

Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning. Language: English; Authors: Alencar, Ane A. C.1 (AUTHOR) ...

Long-Term Landsat-Based Monthly Burned Area Dataset for ... - OUCI

In order to overcome these challenges, we used a novel strategy based on a machine-learning algorithm to map monthly burned areas from 1985 to 2020 using ...

A Landsat-based atlas of monthly burned area for Portugal, 1984 ...

Recently, some effort has been made to provide datasets and protocols capable of providing validation of burned area maps based on a Landsat-like spatial scale ...

A monthly gridded burned area database of national wildland fire data

This dataset complements existing gridded BA data based on remote sensing and offers a valuable opportunity to better understand and assess fire ...

A global forest burn severity dataset from Landsat imagery (2003 ...

The Global Fire Atlas tracks the daily dynamics of individual fires globally to determine the time and location of ignition, area burned, and ...

Landsat Collection 2 Level-3 Burned Area Science Product

The Landsat Collection 2 (C2) Level-3 Burned Area (BA) science product is designed to identify burned areas across all ecosystems (eg, forests, shrublands, and ...

Active fire-based dating accuracy for Landsat burned area maps is ...

As reference burned area maps, we used the Burned Area Reference Database (BARD) to analyze and compare the performances of MODIS and VIIRS active fires. For ...

Multi-decadal trends and variability in burned area from the fifth ...

These datasets were derived from Landsat or Sentinel-2 imagery, have undergone internal quality checks including visual inspection, and have ...

Fire - ESA Climate Change Initiative

The Fire_cci project aims to improve consistency, using better algorithms for both pre-processing and burned area detection while incorporating error ...

Multiple burned area datasets derived from Landsat (LS) or Sentinel ...

The term 'Ref' refers to datasets with manual quality inspection such ... Long-term records of burned area are needed to understand wildfire dynamics ...

Landsat Burned Area Science Products | U.S. Geological Survey

The Landsat Level-3 Burned Area Science Product, designed to identify burned areas across all ecosystems (eg, forests, shrublands, and grasslands),

CaBuAr: California Burned Areas dataset for delineation - arXiv

This paper introduces a novel open dataset that tackles the burned area delineation problem, a binary segmentation problem applied to satellite imagery.

Comparative Analysis between Remote Sensing Burned Area ...

Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning. Remote Sens. 2022, 14, 2510. [Google Scholar] [CrossRef] ...

A satellite-based burned area dataset for the northern boreal region ...

Methods: A Bayesian-network algorithm was applied to the Long-Term Data Record (LTDR) Version 5 to generate a BA DataSet (BA-LTDR-DS) for the Boreal region from ...

Dynamic prediction of global monthly burned area with hybrid deep ...

We produced monthly global burned area spatiotemporal prediction maps and adequately reflected the seasonal peak in fire activity and highly ...

Long-term Landsat-based monthly burned area dataset for ... - Oasisbr

In order to overcome these challenges, we used a novel strategy based on a machine-learning algorithm to map monthly burned areas from 1985 to 2020 using ...