scholarly journals Spatiotemporal Pattern Distribution of Drought Area using MODIS Vegetation Health Index. Case Study: Paddy Field in East Java, Indonesia

2020 ◽  
Vol 528 ◽  
pp. 012056
Author(s):  
AP Kirana ◽  
ARTH Ririd ◽  
R Ariyanto ◽  
EL Amalia ◽  
A Bhawiyuga
Keyword(s):  
Paddy Field ◽  
Index Case ◽  
Spatiotemporal Pattern ◽  
Health Index ◽  
Pattern Distribution ◽  
Vegetation Health ◽  
Vegetation Health Index

scholarly journals Comments on the use of the Vegetation Health Index over Mongolia

2006 ◽  
Vol 27 (10) ◽  
pp. 2017-2024 ◽  
Author(s):  
A. Karnieli ◽  
M. Bayasgalan ◽  
Y. Bayarjargal ◽  
N. Agam ◽  
S. Khudulmur ◽  
...  
Keyword(s):  
Health Index ◽  
Vegetation Health ◽  
Vegetation Health Index

scholarly journals Espaço-Temporalidade dos Focos de Calor na Região Metropolitana de Maceió

2020 ◽  
Vol 35 (spe) ◽  
pp. 1029-1043
Author(s):  
Eli Moisés dos Santos Silva ◽  
Washington Luiz Félix Correia Filho ◽  
José Francisco de Oliveira Júnior ◽  
Heliofábio Gomes Barros ◽  
Micejane da Silva Costa ◽  
...  
Keyword(s):  
Health Index ◽  
Vegetation Health ◽  
Vegetation Health Index

Resumo Este trabalho avaliou as queimadas e os incêndios na Região Metropolitana de Maceió (RMM) via dados de focos de calor (FC) disponíveis no BQueimadas para no período de 1999 a 2019. A série temporal de focos calor foi submetida às análises estatísticas descritivas e multivariadas (Análise de Agrupamento - AA) juntamente com Vegetation Health Index (VHI) aplicadas aos FC nos municípios da RMM. Com base no agrupamento hierárquico identificaram-se três grupos homogêneos (G1, G2 e G3) de FC e o município de Atalaia que não se agrupou (NA). Os Grupos G1 (145,5 ± 7,77 FC) e G2 (28,5 ± 44 FC) apresentaram similaridades quanto à sazonalidade dos FC. Enquanto o Grupo G3 (91 ± 7,07 FC) que inclui a capital Maceió, apresentou distribuição irregular espacialmente. Toda a variabilidade dos FC está associada às atividades agrícolas vigentes na RMM. Mas também, à negligência de ateio de material inflamável sobre a vegetação propicia aumento de incêndios e queimadas, principalmente na colheita da cana-de-açúcar.

scholarly journals Assessment of agricultural drought in Morocco based on a composite of the Vegetation Health Index (VHI) and Standardized Precipitation Evapotranspiration Index (SPEI)

2021 ◽  
Vol 314 ◽  
pp. 04003
Author(s):  
Sara Moutia ◽  
Mohamed Sinan ◽  
Brahim Lekhlif
Keyword(s):  
Surface Temperature ◽  
Real Time ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Vegetation Index ◽  
Agricultural Drought ◽  
Health Index ◽  
Spatial Coverage ◽  
Vegetation Health ◽  
Vegetation Health Index

According to IPCC, Morocco is a highly vulnerable country to extreme climate events, especially droughts; this will affect different socioeconomic sectors, mainly the agriculture sector. Droughts are controlled by the variability of precipitation and evapotranspiration but also not neglecting the effect of land surface conditions such as land surface temperature. In this present study, the remote sense observations MODIS Normalized Difference Vegetation Index (NDVI) and CMSAF Land Surface Temperature (LST) were used for calculating the Vegetation Health Index (VHI). The main advantage of remote sensing products is that they are reasonably efficient in terms of temporal and spatial coverage, and they are useful for the monitoring and assessment of drought in the near real-time. Furthermore, ERA5 Reanalysis-based SPEI is calculated. The goal of this study is to assess the spatial and temporal patterns of drought, this study offers the composite of SPEI and VHI drought monitoring obtained by plotting maps and graphs to show the monthly and annual variability of drought for the period 2000–2015 over the whole of Morocco. This monitoring can be used as a near real-time warning system in a changing climate.

A climatological assessment of drought impact on vegetation health index

2018 ◽  
Vol 259 ◽  
pp. 286-295 ◽  
Author(s):  
Virgílio A. Bento ◽  
Célia M. Gouveia ◽  
Carlos C. DaCamara ◽  
Isabel F. Trigo
Keyword(s):  
Health Index ◽  
Drought Impact ◽  
Vegetation Health ◽  
Vegetation Health Index

scholarly journals Contribution of Land Surface Temperature (TCI) to Vegetation Health Index: A Comparative Study Using Clear Sky and All-Weather Climate Data Records

2018 ◽  
Vol 10 (9) ◽  
pp. 1324 ◽  
Author(s):  
Virgílio Bento ◽  
Isabel Trigo ◽  
Célia Gouveia ◽  
Carlos DaCamara
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Weighted Average ◽  
Condition Index ◽  
Health Index ◽  
Climate Data ◽  
Clear Sky ◽  
Vegetation Health ◽  
Vegetation Health Index

The Vegetation Health Index (VHI) is widely used for monitoring drought using satellite data. VHI depends on vegetation state and thermal stress, respectively assessed via (i) the Vegetation Condition Index (VCI) that usually relies on information from the visible and near infra-red parts of the spectrum (in the form of Normalized Difference Vegetation Index, NDVI); and (ii) the Thermal Condition Index (TCI), based on top of atmosphere thermal infrared (TIR) brightness temperature or on TIR-derived Land Surface Temperature (LST). VHI is then estimated as a weighted average of VCI and TCI. However, the optimum weights of the two components are usually not known and VHI is usually estimated attributing a weight of 0.5 to both. Using a previously developed methodology for the Euro-Mediterranean region, we show that the multi-scalar drought index (SPEI) may be used to obtain optimal weights for VCI and TCI over the area covered by Meteosat satellites that includes Africa, Europe, and part of South America. The procedure is applied using clear-sky Meteosat Climate Data Records (CDRs) and all-sky LST derived by combining satellite and reanalysis data. Results obtained present a coherent spatial distribution of VCI and TCI weights when estimated using clear- and all-sky LST. This study paves the way for the development of a future VHI near-real time operational product for drought monitoring based on information from Meteosat satellites.

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