scholarly journals MODIS Reflectance and Active Fire Data for Burn Mapping in Colombia

2011 ◽  
Vol 15 (10) ◽  
pp. 1-17 ◽  
Author(s):  
Silvia Merino-de-Miguel ◽  
Federico González-Alonso ◽  
Margarita Huesca ◽  
Dolors Armenteras ◽  
Carol Franco
Keyword(s):  
Terrestrial Ecosystem ◽  
Fire Detection ◽  
Cost Effective ◽  
Burned Area ◽  
Remotely Sensed Data ◽  
Burnt Area ◽  
Ecosystem Monitoring ◽  
Active Fire ◽  
Burned Area Mapping ◽  
Area Product

Abstract Satellite-based strategies for burned area mapping may rely on two types of remotely sensed data: postfire reflectance images and active fire detection. This study uses both methods in a synergistic way. In particular, burned area mapping is carried out using MCD43B4 [Moderate Resolution Imaging Spectrometer (MODIS); Terra + Aqua nadir bidirectional reflectance distribution function (BRDF); adjusted reflectance 16-day L3 global 1-km sinusoidal grid V005 (SIN)] postfire datasets and MODIS active fire products. The developed methodology was tested in Colombia, an area not covered by any known MODIS ground antenna, using data from 2004. The resulting burned area map was validated using a high-spatial-resolution Landsat-7 Enhanced Thematic Mapper Plus (ETM+) image and compared to two global burned area products: L3JRC (terrestrial ecosystem monitoring global burnt area product) and MCD45A1 (MODIS Terra + Aqua burned area monthly global 500-m SIN grid V005). The results showed that this method would be of great interest at regional to national scales because it proved to be quick, accurate, and cost effective.

Global assessment of the temporal reporting accuracy and precision of the MODIS burned area product

2010 ◽  
Vol 19 (6) ◽  
pp. 705 ◽  
Author(s):  
Luigi Boschetti ◽  
David P. Roy ◽  
Christopher O. Justice ◽  
Louis Giglio
Keyword(s):  
Fire Detection ◽  
Time Difference ◽  
Systematic Evaluation ◽  
Burned Area ◽  
Reporting Accuracy ◽  
Active Fire ◽  
Accuracy And Precision ◽  
Moderate Resolution ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Area Product

A method for the systematic evaluation of the temporal reporting accuracy and precision of burned area products conducted using active fire detections as the reference dataset is described. The method is applied globally to 6 years of Moderate Resolution Imaging Spectroradiometer (MODIS) burned area and active fire product data. The distribution of the time difference between active fire and burned area detections that occur within 90 days is analysed and summary statistics extracted globally. The median time difference in reporting between the MODIS burned area and the active fire product detections is 1 day and the majority of MODIS burned area product detections occur temporally close to an active fire detection: 50% within a single day and 75% within 4 days. Users of the MODIS burned area product with temporal reporting requirements should be aware of these findings if using the approximate day of burning information provided in the burned area product.

Mapping burned area in Alaska using MODIS data: a data limitations-driven modification to the regional burned area algorithm

2011 ◽  
Vol 20 (4) ◽  
pp. 487 ◽  
Author(s):  
Tatiana V. Loboda ◽  
Elizabeth E. Hoy ◽  
Louis Giglio ◽  
Eric S. Kasischke
Keyword(s):  
Land Surface ◽  
High Performance ◽  
Wildland Fire ◽  
Burned Area ◽  
Remotely Sensed Data ◽  
Burned Areas ◽  
Data Limitations ◽  
Burned Area Mapping ◽  
Moderate Resolution ◽  
Area Product

With the recently observed and projected trends of growing wildland fire occurrence in high northern latitudes, satellite-based burned area mapping in these regions is becoming increasingly important for scientific and fire management communities. Coarse- and moderate-resolution remotely sensed data products are the only viable source of comprehensive and timely estimates of burned area in remote, sparsely populated regions. Several MODIS (Moderate Resolution Imaging Spectroradiometer)-based burned area products for Alaska are currently available. However, our research shows that the existing burned area products underestimate the extent of the effect of fire by 15–70%. Environmental conditions limit the effective observation of land surface in Alaska to the period between May and September. These limitations are particularly noticeable in mapping late-season fires. Here we present an ecosystem-based modification to a previously developed burned area mapping approach designed to enhance the algorithm performance in Alaska. The mapping results show a consistently high performance of the adjusted algorithm in mapping burned areas in Alaska during large (2004 and 2005) and small (2006 and 2007) fire years. The adjusted burned area product maps burned areas identified by the Monitoring Trends in Burn Severity products with the overall accuracy of 90–93% and Kappa of 0.67–0.75%.

scholarly journals A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data

2020 ◽  
Vol 236 ◽  
pp. 111493 ◽  
Author(s):  
Joshua Lizundia-Loiola ◽  
Gonzalo Otón ◽  
Rubén Ramo ◽  
Emilio Chuvieco
Keyword(s):  
Burned Area ◽  
Modis Data ◽  
Active Fire ◽  
Burned Area Mapping ◽  
Clustering Approach ◽  
Spatio Temporal

An active-fire based burned area mapping algorithm for the MODIS sensor

2009 ◽  
Vol 113 (2) ◽  
pp. 408-420 ◽  
Author(s):  
Louis Giglio ◽  
Tatiana Loboda ◽  
David P. Roy ◽  
Brad Quayle ◽  
Christopher O. Justice
Keyword(s):  
Burned Area ◽  
Mapping Algorithm ◽  
Active Fire ◽  
Burned Area Mapping

scholarly journals Evaluation of short-term changes of hydrological response in mountainous basins of the Vitim Plateau (Russia) after forest fires based on data analysis and hydrological modelling

2015 ◽  
Vol 371 ◽  
pp. 157-162 ◽  
Author(s):  
O. M. Semenova ◽  
L. S. Lebedeva ◽  
N. V. Nesterova ◽  
T. A. Vinogradova
Keyword(s):  
Forest Fires ◽  
Model Performance ◽  
Burned Area ◽  
Model Parameters ◽  
Hydrological Response ◽  
Short Term ◽  
Burnt Area ◽  
Area Product ◽  
Induced Changes ◽  
Fire Impact

Abstract. Twelve mountainous basins of the Vitim Plateau (Eastern Siberia, Russia) with areas ranging from 967 to 18 200 km2 affected by extensive fires in 2003 (from 13 to 78% of burnt area) were delineated based on MODIS Burned Area Product. The studied area is characterized by scarcity of hydrometeorological observations and complex hydrological processes. Combined analysis of monthly series of flow and precipitation was conducted to detect short-term fire impact on hydrological response of the basins. The idea of basin-analogues which have significant correlation of flow with "burnt" watersheds in stationary (pre-fire) period with the assumption that fire impact produced an outlier of established dependence was applied. Available data allowed for qualitative detection of fire-induced changes at two basins from twelve studied. Summer flow at the Amalat and Vitimkan Rivers (22 and 78% proportion of burnt area in 2003, respectively) increased by 40–50% following the fire.The impact of fire on flow from the other basins was not detectable.The hydrological model Hydrograph was applied to simulate runoff formation processes for stationary pre-fire and non-stationary post-fire conditions. It was assumed that landscape properties changed after the fire suggest a flow increase. These changes were used to assess the model parameters which allowed for better model performance in the post-fire period.

scholarly journals Fractal properties of forest fires in Amazonia as a basis for modelling pan-tropical burned area

2013 ◽  
Vol 10 (8) ◽  
pp. 14141-14167 ◽  
Author(s):  
I. N. Fletcher ◽  
L. E. O. C. Aragão ◽  
A. Lima ◽  
Y. Shimabukuro ◽  
P. Friedlingstein
Keyword(s):  
Forest Fires ◽  
Fire Spread ◽  
Burned Area ◽  
Burnt Area ◽  
Pareto Model ◽  
Fractal Properties ◽  
Vegetation Models ◽  
Area Product ◽  
Global Vegetation ◽  
Tapered Pareto

Abstract. Current methods for modelling burnt area in Dynamic Global Vegetation Models involve complex fire spread calculations, which rely on many inputs, including fuel characteristics, wind speed and countless parameters. They are therefore susceptible to large uncertainties through error propagation. Using observed fractal distributions of fire scars in Brazilian Amazonia, we propose an alternative burnt area model for tropical forests, with fire counts as sole input and few parameters. Several parameterizations of two possible distributions are calibrated at multiple spatial resolutions using a satellite-derived burned area map, and compared. The tapered Pareto model most accurately simulates the total area burnt (only 3.5 km2 larger than the recorded 16 387 km2) and its spatial distribution. When tested pan-tropically using MODIS MCD14ML fire counts, the model accurately predicts temporal and spatial fire trends, but produces generally higher estimates than the GFED3.1 burnt area product, suggesting higher pan-tropical carbon emissions from fires than previously estimated.

Validation studies of EUMETSAT's active fire monitoring product over Turkey

2009 ◽  
Vol 18 (5) ◽  
pp. 517 ◽  
Author(s):  
Ahmet Emre Tekeli ◽  
İbrahim Sönmez ◽  
Erdem Erdi ◽  
Fatih Demir
Keyword(s):  
Temporal Distribution ◽  
Fire Detection ◽  
Burnt Area ◽  
Pixel Resolution ◽  
European Organization ◽  
Fire Monitoring ◽  
In Situ Data ◽  
Active Fire ◽  
Spatio Temporal

Fire detection and monitoring are challenging tasks that require continuous, early and quick responses that are as accurate as possible. Satellite-based systems are indispensable tools for operational and research agencies to accomplish such a demanding task. The frequent and continuous imagery capability of the geostationary satellites makes them the best candidate for early fire detection systems. The main purpose of the present paper is to analyze the spatio-temporal distribution of active fire monitoring (FIR) products of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT)’s Meteosat Second Generation (MSG) satellite with in situ data for the summer of 2006 over Turkey. In situ data were obtained from the fire reports of the Ministry of Environment and Forestry, Turkey. The main shortcomings of the MSG active fire monitoring product validation arise from the pixel resolution and fire coverage, which are examined on the basis of some recent examples. The diurnal cycle of active fires identified well with the product. The burnt area effects on the accuracy of hit ratios were also analyzed. It is seen that the possibility for the fire to be detected by MSG increases with increasing burnt area. Even with the present anomalies, remote sensing may provide a consistent systematic way of monitoring fires, removing human biases and enabling a long-term dataset, which has been a goal of Global Observation of Forest and Land Cover Dynamics (GOFC/GOLD).

Accuracy and spatiotemporal distribution of fire in the Brazilian biomes from the MODIS burned-area products

2020 ◽  
Vol 29 (10) ◽  
pp. 907 ◽  
Author(s):  
Nickolas Castro Santana ◽  
Osmar Abílio de Carvalho Júnior ◽  
Roberto Arnaldo Trancoso Gomes ◽  
Renato Fontes Guimarães
Keyword(s):  
Confusion Matrix ◽  
Burned Area ◽  
Accuracy Analysis ◽  
Visual Interpretation ◽  
Burned Areas ◽  
Active Fire ◽  
Moderate Resolution ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Area Product ◽  
Area Monitoring

The Moderate Resolution Imaging Spectroradiometer (MODIS) products are the most used in burned-area monitoring, on regional and global scales. This research aims to evaluate the accuracy of the MODIS burned-area and active-fire products to describe fire patterns in Brazil in the period 2001–2015. The accuracy analysis, in the year 2015, compared the MODIS products (MCD45/MCD64) and the burned areas extracted by the visual interpretation of the LANDSAT/Operational Land Imager (OLI) images from the confusion matrix. The accuracy analysis of the active-fire products (MOD14/MYD14) in the year 2015 used linear regression. We used the most accurate burned-area product (MCD64), in conjunction with environmental variables of land use and climate. The MCD45 product presented a high error of commission (>36.69%) and omission (>77.04%) for the whole country. The MCD64 product had fewer errors of omission (64.05%) compared with the MCD45 product, but increased errors of commission (45.85%). MCD64 data in 2001–2015 showed three fire domains in Brazil determined by the climatic pattern. Savanna and grassy areas in semi-humid zones are the most prone areas to fire, burning an average of 25% of their total area annually, with a fire return interval of 5–6 years.

Sign in / Sign up

Export Citation Format

Share Document