LAADS DAAC. Show more. Show less. HDF-EOS V2 MODIS L3 Monthly 500m Burned Area Product File Specification Original Version 6.0.0 (December 2013) Product ID (s): MCD45A1 (L3 Monthly 500m Burned Area) Description: This process makes Monthly 500m Burned Area Product MCD45A1 for distribution and archive from the MODIS Monthly 500m Burned Area. 1. The official MCD45A1 in HDF-EOS format, which is available as part of the MODIS suite of global land products. 2. The re-projected monthly Geotiffs version available from the University of Maryland. 3.1 Level 3 Monthly Tiled Product: MCD45A1 The MCD45A1 Burned Area Product is a monthly Level 3 gridded 500 m produc MCD45A1.A2000306.h16v07.051.2006360205845.hdf which can be read as: a) MCD45A1 = MODIS level 3 Monthly tiled burned area product b) A2000306 = year and Julian date of the starting day of the month covered by the product: 306 is the Julian date of Nov 1, hence 2000306 means that the product covers November 2000 3.1 Level 3 Monthly Tiled Product: MCD45A1 The MCD45A1 Burned Area Product is a monthly Level 3 gridded 500 m product containing per-pixel burning and quality information, and tile-level metadata. Product users are provided with a variety of quality assessment information and a single summary qualit These results represent an improvement over the MCD45A1 product, which showed an agreement of R2 = 0.67 and a slope = 0.42. The MCD64A1, BA-LTDR and MCD45A1 products underestimated the total burned area in the study region, whereas the BA GEOLAND-2 product overestimated it by approximately five-fold, with an agreement of R2 = 0.05
The MCD45A1 product will not be generated beyond Collection 5.1. The product is generated using Version 6 surface reflectance and active fire input data. General improvement (reduced omission error) in burned area detection, including significantly better detection of small burns The MCD45A1 product is still available but will not be generated beyond its current Collection 5.1. Product PI: Louis Giglio PI-maintained product web page User Guide - C61 ATBD .1 (C5.1) MCD64A1 and MCD45A1 products whose use is deprecated. The new algorithm is designed to be extremely tolerant of cloud and aerosol contamination, which affected the Collection 5.1 MCD45A1 product The MCD45A1 product will not be generated beyond Collection 5.1. 2. The product is generated using Collection 6 (versus Collection 5) surface reﬂectance and active ﬁre input data. 3. General improvement (reduced omission error) in burned area detection. 4. Signiﬁcantly better detection of small burns MCD45A1 (version 5, 6) = MODIS/Terra+Aqua Burned Area Monthly L3 Global 500m; No labels Overview. Community Forums. Content Tools. Powered by Atlassian Confluence 7.4.9; Printed by Atlassian Confluence 7.4.9; Atlassian.
The MCD45A1 product will not be generated beyond Collection 5.1. * The product is generated using Version 6 surface reflectance and active fire input data. * General improvement (reduced omission error) in burned area detection, including significantly better detection of small burns. * Modest reduction in burn-date temporal uncertainty . The algorithm is a major extension to an earlier hybrid approach used by ( Roy et al., 1999 ) to map savanna burns in southern Africa with 1.1-km Advanced Very High Resolution Radiometer (AVHRR) imagery MCD45A1 detections showed similar precision over natural physiognomies. • MCD45A1 precision varied according to burning severity and time lag in satellite observation. • MCD45A omissions depended on land-cover and landscape patterns and conditions. • MCD45A1 detections were highly correlated to thermal anomaly data
Burned Area (MCD45A1, collection 5.1) The MODIS Burned Area product (short name: MCD45A1) identifies rapid changes in the daily surface reflectance, and uses that information to approximate the date of burning and map the spatial extent of recent fires (Giglio et al, 2015) Nevertheless, the MCD45A1 exhibited excellent performance in retrieving seasonal patterns of forest fire, with high fire occurrence in spring and autumn. On balance, more studies are required to assess and improve the MCD45A1 product and more precise data on forest burned areas in China are urgently needed
• Monthly Product (MCD45A1) - 500m approximate day of burning over month +/- 8 days - MODLAND 10x10 degree tiles - extensive QA & metadata -EOS-HDF • Annual Synthesis Product (forthcoming) - as monthly product but for calendar year • CMG 0.25 deg product (forthcoming) - aggregated information for climate modeling communit The Moderate Resolution Imaging Spectroradiometer (MODIS) is a payload imaging sensor built by Santa Barbara Remote Sensing that was launched into Earth orbit by NASA in 1999 on board the Terra (EOS AM) satellite, and in 2002 on board the Aqua (EOS PM) satellite. The instruments capture data in 36 spectral bands ranging in wavelength from 0.4 μm to 14.4 μm and at varying spatial resolutions. Comparisons of L3JRC and MCD45A1 burned areas using ground-based measurements and other satellite data were made in several major burning regions, and the results suggest that MCD45A1 generally performed better than L3JRC, although with a certain degree of underestimation in forest areas. The average annual L3JRC-based emissions were 123. Overall, September MCD45A1 polygons (2000-2012) compared well to the Landsat-based reference mapping (r 2 = 0.92) and were closely accompanied, on a monthly basis, by MOD14 and MYD14 hotspots (r 2 = 0.89), although large omissions errors, linked to landscape patterns, structures, and overall conditions depicted in each reference image, were. MCD45A1 C5) have also been included to analyze the impact of the changes made in the new versions. The Alaskan region was selected for two reasons. First, it is one of the few regions in the world that has an o cial database with detailed records of the area burned by all ﬁres since 1940. These data wer
These results represent an improvement over the MCD45A1 product, which showed an agreement of R-2 = 0.67 and a slope = 0.42. The MCD64A1, BA-LTDR and MCD45A1 products underestimated the total burned area in the study region, whereas the BA GEOLAND-2 product overestimated it by approximately five-fold, with an agreement of R-2 = 0.05 The burned area is a critical parameter in estimating fire emissions. Recently, multiyear global burned area products with medium spatial resolution (1 km or 500 m) have been released, including the L3JRC product and the Collection 5 Moderate-Resolution Imaging Spectroradiometer (MCD45A1) product  The MCD45A1 product is produced from a change detection algorithm based on a bidirectional reflectance distribution function (BRDF) model [Roy et al., 2005]. MCD45A1 is a monthly product at 500 m resolution and is now available online from April 2000 to January 2009, reporting the approximate day of burning with 8-day precision Validation of the L3JRC and MCD45A1 burned areas was performed using data from ground-based measurements in Canada, the United States, Russia, and China. The results showed that MCD45A1 was more comparable to reference data, although it often underestimated in the boreal forests
The approach will be based on a merged form of the MODIS standard (MCD45A1) and direct broadcast (MCD64A1) burned area mapping algorithms used for Collection 6. We have found that the MCD45 product performes better in cropland burning areas, but the more noise tolerant direct broadcast product performs better under cloudy conditions, but not as. The product evaluated was the MCD45A1 of MODIS aboard Terra and Aqua platforms, which represent the burned areas, obtained daily, with spatial resolution of 500 meters, composed by a monthly mosaic, relative to 12 datasets for the 2010 and 2011 years. The evaluation of MCD45A1 product was performed by analysis an We also assessed the temporal reporting accuracy of the MODIS burned area products (MCD45A1 and MCD64A1). Averaged over the nine fires, the kriging method correctly mapped 73% of the pixels within the accuracy of a single day, compared to 33% for MCD45A1 and 53% for MCD64A1
The MODIS burned area product MCD45A1 (Roy et al. 2006) defined a fixed and wavelength-independent Z-score threshold to distinguish the difference of burned pixel reflectances between BRDF inversed and observed. However, it has been noted that fixed threshold methods performed poorly fo (MCD45A1)  as well as the Backup MODIS Burned Ar ea Product (hereafter BMBAP) . Previous research on the validation of the MCD45A1 in South Africa was limited to only two Landsat 7 Enhanced Thematic Mapper plus (ETM+) scenes that covered the Lowveld sa vanna biome around the southern Kruger National Park  The MCD45A1 product is extracted from the atmospheric corrected Surface Reflectance Daily Data (MOD09GQK) acquired over 1 month. The method used is a change detection approach applied independently on each pixel over a defined period (Roy et al. 2005) The results for the two sample years (2006 and 2009) show that the older, non-hybrid products MCD45A1 and, MCD14ML were the best performers with Sørensen index (F1 score) reaching 0.42 and 0.26 in 2006, and 0.24 and 0.24 in 2009, respectively, while producer's accuracies (PA) were 30% and 43% in 2006, and 16% and 47% in 2009, respectively
Therefore, the objective of this work is to evaluate the MCD45A1 burned area product derived from MODIS sensor in Amazon tropical forest by comparing this dataset with the reference data derived from the mapping of burned areas in Acre State/Brazil acquired by TM sensor aboard of Landsat 5 and with a fieldwork that took place in November 2011 Four MODIS-derived products (MCD45A1 collection 5.1, MCD64A1 (collection 5.1 and 6), FireCCI51) were initially assessed to explore long-term fire frequency and land use/cover change relationships. The results indicated the product(s) could only detect half of the fires accurately. A further study was conducted using additional moderate spatial. A way of monitoring this is using remote sensing techniques. So the propose of the present article is to use the Modis product (MCD45A1) to identify and evaluated the burned areas in metropolitan region of Belo Horizonte, among the years of 2012 to 2016, which is validated with Landsat-8/OLI sensor data
A farmland map 29, satellite-based rainfall estimates 26 (CHIRPS), fire (MCD45A1) and population data 27 (Worldpop) were used for analysis of woody cover patterns in relation to climate and land. Performance of Three MODIS fire products (MCD45A1, MCD64A1, MCD14ML), and ESA Fire_CCI in a mountainous area of Northwest Yunnan, China, characterized by frequent small fires. Remote Sensing, 9(11), p.1131. Giglio, L. and Roy, D.P., 2020. On the outstanding need for a long-term, multi-decadal, validated and quality assessed record of global. MCD45A1 was particularly influenced by the temporal resolution used, as the two major peaks fell within the same month. At site level, the spatiotemporal depiction of central fires showed that GBA2000 presented the most clearly defined and consistent shapes. However, timing differences between close pixels were up to four months, an incoherence. The product must have an indication of the collection follwing the product name. i.e. MCD45A1.005) The --begin and --end flags are optional, and yu can ignore them if you just want the complete year; Use the --proxy option to set the required proxy. It should be read from the environment variable, but this is added flexiblit MCD45A1: burndate ba_qa npasses nused direction surfacetype gap_range1 gap_range2 MCD45A2: f1_day f2_day f3_day b1_day b2_day b3_day f1_npass f2_npass f3_npass b1_npass b2_npass b3_npass f1_nused f2_nused f3_nused b1_nused b2_nused b3_nused f1_zscore f2_zscore f3_zscore b1_zscore b2_zscore b3_zscore f1_ninv f2_nin
A new layer of data. Linkie found tapirs at 295 camera traps, which yielded a probability of occurrence of 0.43, meaning tapirs existed at 43 percent of the range-wide study area. He also discovered a relationship between occupancy and human impacts. Overall, tapirs were less likely to exist in areas with more human disturbance the MCD45A1 burned areas to independent reference data for several major burning regions (Canada, USA, Russia, and China), and found it to be reliable, especially for boreal forest regions. Song et al (2009) has calculated the emissions from open vegetation ﬁres in China from 2000 to 2007 using the newly available MCD45A1 product
Validation of the Two Standard MODIS Satellite Burned-Area Products and an Empirically-Derived Merged Product in South Afric The new algorithm is designed to be extremely tolerant of cloud and aerosol contamination, which affected the Collection 5.1 MCD45A1 product. As a consequence, the Collection 6 MCD64A1 product has significantly better detection of small burns, a modest reduction in burn-date temporal uncertainty, and a large reduction in the extent of unmapped. The MCD45A1 burned area product is at a medium resolution and has been validated to be reliable (Chang and Song 2009, Roy and Boschetti 2009). It is difficult to assess the uncertainty for the satellite-derived burned area (Hoelzemann et al 2004). In addition, the combustion factor was calculated from empirical formulae MCD45A1 is a monthly L3 500m product that approximates the date of burning, and maps the spatial extent of recent fires. MCD12Q1 L3 product 2 OGC STANDARDS describes land cover properties derived from one year of observations. It is delivered yearly at 500m The WCS standard specifies 3 operations: GetCapa- resolution and incorporates 5. We want the MCD45A1 product, collection 5.1 (just released!). tile=h17v04 A tile for the Northern Iberian Peninsula. year=2004 The year of interest output=. Use the current directory to save the downloaded files. Because we provided the --verbose flag, we get a running commentary on how all this proceeds
three global burned area datasets: the MCD45A1 (MODIS Terra+Aqua Burned Area Monthly L3 Global 500 m), the L3JRC (Global, daily, SPOT VEGETA-TION-derived Burned Area Product, 1 km), and the GLOBCARBON-BAE Product (Global, Monthly 1 km based on SPOT-VGT and ATSR images). The MCD45A1 product (Roy et al. 2005, 2008) was downloaded from th The MCD45A1 product identifies burn dates for indi-vidual (~500 m) pixels but does not identify unique fire perimeters. We grouped the burned pixels into unique fire perimeters based on spatial and temporal proximity. 2392 EMILY J. FUSCO ET AL. Eœiôgieâl^Apphcations Fig. 1. The study area is composed of the eleven westernmost contiguous US.
Michael Humber is an Assistant Research Professor and Instructor who has been at the University of Maryland since Fall 2007. He started research with the Department of Geographical Sciences in Fall 2010 as an undergraduate intern DOAJ is a community-curated online directory that indexes and provides access to high quality, open access, peer-reviewed journals
MODIS MCD45A1 MODIS global monthly burned area product Level 3 gridded 500 m NASA National Aeronautics and Space Administration PAR Photosynthetic Active Radiation TOC Top-of-Canopy UMESC Upper Midwest Environmental Sciences Centre (United States Geological Survey) USGS United States Geological Survey. For these nine fires, we also assessed the temporal reporting accuracy of the MODIS burnt area products (MCD45A1 and MCD64A1). Averaged over the nine fires, the kriging method correctly mapped 73% of the pixels within the accuracy of a single day, compared with 33% for MCD45A1 and 53% for MCD64A1
LTDR. Acronym. Definition. LTDR. Low Temperature Data Retention. LTDR. Long Term Data Record (climate studies; US NASA) LTDR. Laser Target Designator Rangefinder The compositing criterion was based on maximum surface temperature. The research covered a six year period (2001-2006) from June to September, when most of the forest fires occur. The resulting burned area maps have been validated using official fire perimeters and compared with MODIS Collection 5 Burned Area Product (MCD45A1) Download MODIS data for a particular tile. GitHub Gist: instantly share code, notes, and snippets Collec&on(6(MODIS(Fire(Products(LouisGiglio 1, WilfridSchroeder 1,Luigi(Bosche 2,(David( Roy3,Chris(Jus&ce 1 1University(of(Maryland,(2University(of(Idaho,(3South.
series, the MCD45A1 and the MCD64A1. Both provide BA detections at 500m from 2000 to the present. The MCD45A1 was derived from a change detection algorithm based on a bidirectional reﬂectance model (Roy et al., 2008), while the MCD64A1 is derived from a hybrid algorithm that uses both the reﬂectance changes and the thermal anomalies associ 500 m resolution burned area product (MCD45A1) detected by NA-SA's Terra and Aqua satellites. The mapping of burned areas is based on changes in surface reﬂectance as a result of ﬁres. The spectral characteristics of burned scars with charcoal and ash are quite different from that of vegetation before being burned. Th (MCD45A1) • The algorithm developed for the MCD45 product uses a bi-directional reflectance (BRDF) model-based change detection approach • It detects the approximate date of burning by locating the occurrence of rapid changes in daily MODIS reflectance time series • Because of the BRDF model incorporated in th BON, and Collection 5 MODIS MCD45A1 global burned area products in Sect. 5. 2 Data 2.1 Burned area data Reference burned area maps were produced from the 500-m MODIS atmospherically-corrected Level 2G surface re-ﬂectance product ( Vermote and Justice, 2002), the MODIS Level 3 daily active ﬁre products ( Justice et al., 2002), an Here's how you download the monthly MCD45A1 (burned area) product for the same period: $./get_modis.py -v -p MCD45A1.005 -s MOTA -y 2004 -t h17v04 -o /tmp/ -b 153 -e 243 EXIT STATUS No exit status yet, can't be bothered The BADR results in this study are smaller than the global assessment of accuracy of MCD45A1 in which 84% of Landsat 7 ETM+ burned areas were estimated correctly in central Siberia 24