Representação matemática do comportamento intra-anual do NDVI no Bioma Caatinga

Filho, Rivaildo da Silva Ramos; Vasconcelos, Rochele Sheila; Galvão, Carlos de Oliveira; Cunha, John; Rufino, Iana Alexandra Alves

doi:10.5902/1980509837279

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…The imaging period (June) matches the rainy season, when there are a great herb layer and significant presence of vegetation leaf canopy, thus contributing to higher NDVI levels. Another important factor that should be considered in the Caatinga environment is the seasonal rainfall distribution, which plays a great role on the regional water balance, hence soil moisture content, thus directly influencing NDVI (Arraes et al, 2012;Silva Filho et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

Monitoring of biome degradation in the northeastern semi-arid region, Brazil

Silva

Montenegro

Lopes

et al. 2020

Rev. Bras. Geog. Fis.

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Degradation of Caatinga biome has created desertification processes in several areas, inducing big microclimate and surface changes. Therefore, it is fundamental develop research methods capable of identifying areas under degradation process. Satellite images in different spatial, temporal, radiometric and spectral resolutions are being used to monitor big areas from several biomes worldwide. The objective of this study was to evaluate and quantify the degree of degradation and preservation of the Caatinga biome, using geoprocessing methods and remote sensing products , using surface data and Landsat-8 images for 2013, 2014 and 2015. Remote sensing methods were used to estimate the Normalized Difference Vegetation Index (NDVI), surface albedo (α) and Moving Standard Deviation Index (MDSI). The results showed that the vegetation indexes and the techniques of degradation and change detection satisfactorily identified the behavior of the surrounding vegetation in the study area, standing out as good indices for degradation processes in the semiarid. It was concluded that change detection and classification by decision tree methods were efficient in the identif ication of anthropized areas during the experimental period.

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Section: Resultsmentioning

confidence: 99%

Monitoring of biome degradation in the northeastern semi-arid region, Brazil

Silva

Montenegro

Lopes

et al. 2020

Rev. Bras. Geog. Fis.

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“…The biomass of the old stands, however, was lower than those of most other dry forests, which usually had more than 72 Mg ha −1 (Read and Lawrence 2003;Raherison and Grouzis 2005;Vargas et al 2008;Raharimalala et al 2012;Becknell and Powers 2014). Low water availability is the probable cause of the low biomass in Brazilian dry forests, the closest to the equator with the highest potential evapotranspiration (Silva Filho et al 2020). The biomass of the humid forests was within the ranges reported elsewhere (Fonseca et al 2011;Poorter et al 2016;Stas et al 2017) for both young (76 to 100 Mg ha −1 ) and old stands (100 to 334 Mg ha −1 ), except for the low biomass of the young stand of the montane forest.…”

Section: Biomass and Densitymentioning

confidence: 96%

Contributions of Leguminosae to young and old stands of neotropical forests under different environmental conditions

Costa

Sampaio

Araújo

et al. 2021

Annals of Forest Science

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& Key message Potentially nodulating Leguminosae species had high density and biomass in young stands of forests in Northeast Brazil, except in a dry forest on a low-fertility soil. & Context Leguminosae species, especially potentially nodulating ones, appear to be important components of tropical secondary forests, although information is still scarce concerning their contributions to richness and biomass under different environmental conditions. & Aims To evaluate the contribution of Leguminosae to the aboveground biomass and density of young and old forest stands in six sites, with different climate and soil conditions, in northeastern Brazil. & Methods The biomass of plants was estimated using allometric equations in ten plots in one young and one old forest stand in each site. Leguminosae were separated into nodulating and non-nodulating species based on literature. & Results Leguminosae, mainly nodulating species, displayed the largest number of species among all families and the largest biomass and density in young stands. There was more similarity in Leguminosae species composition between young and old stands in dry than in humid forests. & Conclusion Nodulating species make considerable contributions to the biomass of the initial successional stages of forests in Northeast Brazilconfirming the importance of the family for natural forest regeneration, especially in dry environments.

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“…These methods are based on bio-geophysical parameters obtained via a series of freely available sensors, such as MODIS (Moderate-resolution Imaging Spectroradiometer) on the Terra and Aqua satellites, and TM (Thematic Mapper) and OLI (Operational Land Imager) on the Landsat satellites, which are mostly used to analyse parameters such as land surface temperature (Sousa et al, 2015b;Santos et al, 2020) and different vegetation indices, including the traditional NDVI -Normalized Difference Vegetation Index and the SAVI -Soil-Adjusted Vegetation Index (Aquino et al, 2012;Silva Filho et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Identification of desertified and preserved areas in a conservation unit in the state of Paraíba – Brazil

Silva

Souza

Artigas

2022

CIG

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The objective of this study is to identify and analyse the main characteristics of areas potentially degraded by desertification and of preserved areas using the Soil Surface Moisture Index (SSMI), alongside the Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI). The study is based on a set of points obtained in the field and from the RGB false colour image for the Environmental Protection Areas (EPA) of the Cariri, in the semi-arid region of Paraíba, using a space-time cross-section covering both rainy and dry periods. The results showed that at all points in Desertified Areas, the main characteristics were a low SSMI, high LST and low NDVI in both periods. The Preserved Areas, on the other hand, presented a high SSMI, moderate LST and high NDVI in the rainy period, with the same characteristics repeated in the dry period for SSMI and NDVI, but with a low LST. Timely identification of these characteristics, both in areas degraded by desertification and in better preserved areas, can provide useful information for future decisions relating to the physical and territorial management of the Conservation Unit.

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Representação matemática do comportamento intra-anual do NDVI no Bioma Caatinga

Cited by 5 publications

References 18 publications

Monitoring of biome degradation in the northeastern semi-arid region, Brazil

Monitoring of biome degradation in the northeastern semi-arid region, Brazil

Contributions of Leguminosae to young and old stands of neotropical forests under different environmental conditions

Identification of desertified and preserved areas in a conservation unit in the state of Paraíba – Brazil

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