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Development of earth observational diagnostic drought prediction model for regional error calibration: A case study on agricultural drought in Kyrgyzstan / Eunbeen Park in GIScience and remote sensing, vol 59 n° 1 (2022)  

Public [article]  inGIScience and remote sensing > vol 59 n° 1 (2022) . - pp 36 - 53 Titre : Development of earth observational diagnostic drought prediction model for regional error calibration: A case study on agricultural drought in Kyrgyzstan Type de document : Article/Communication Auteurs : Eunbeen Park, Auteur ; Hyun-Woo Jo, Auteur ; Sujong Lee, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 36 - 53 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] changement climatique [Termes IGN] changement temporel [Termes IGN] image Terra-MODIS [Termes IGN] Indice de précipitations antérieures [Termes IGN] indice de végétation [Termes IGN] Kirghizistan [Termes IGN] message d'alerte [Termes IGN] modèle de simulation [Termes IGN] plan de prévention des risques [Termes IGN] prévision météorologique [Termes IGN] sécheresse Résumé : (auteur) Drought is a natural disaster that occurs globally and is a main trigger of secondary environmental and socio-economic damages, such as food insecurity, land degradation, and sand-dust storms. As climate change is being accelerated by human activities and environmental changes, both the severity and uncertainties of drought are increasing. In this study, a diagnostic drought prediction model (DDPM) was developed to reduce the uncertainties caused by environmental diversity at the regional level in Kyrgyzstan, by predicting drought with meteorological forecasts and satellite image diagnosis. The DDPM starts with applying a prognostic drought prediction model (PDPM) to 1) estimate future agricultural drought by explaining its relationship with the standardized precipitation index (SPI), an accumulated precipitation anomaly, and 2) compensate for regional variances, which were not reflected sufficiently in the PDPM, by taking advantage of preciseness in the time-series vegetation condition index (VCI), a satellite-based index representing land surface conditions. Comparing the prediction results with the monitored VCI from June to August, it was found that the DDPM outperformed the PDPM, which exploits only meteorological data, in both spatiotemporal and spatial accuracy. In particular, for June to August, respectively, the results of the DDPM (coefficient of determination [R2] = 0.27, 0.36, and 0.4; root mean squared error [RMSE] = 0.16, 0.13, and 0.13) were more effective in explaining the spatial details of drought severity on a regional scale than those of the PDPM (R2 = 0.09, 0.10, and 0.11; RMSE = 0.17, 0.15, and 0.16). The DDPM revealed the possibility of advanced drought assessment by integrating the earth observation big data comprising meteorological and satellite data. In particular, the advantage of data fusion is expected to be maximized in areas with high land surface heterogeneity or sparse weather stations by providing observational feedback to the PDPM. This research is anticipated to support policymakers and technical officials in establishing effective policies, action plans, and disaster early warning systems to reduce disaster risk and prevent environmental and socio-economic damage. Numéro de notice : A2022-132 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/15481603.2021.2012370 Date de publication en ligne : 20/12/2021 En ligne : https://doi.org/10.1080/15481603.2021.2012370 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99720 [article]

The impact of drought stress on the height growth of young norway spruce full-sib and half-sib clonal trials in Sweden and Finland / Haleh Hayatgheibi in Forests, vol 12 n° 4 (April 2021)  

Public [article]  inForests > vol 12 n° 4 (April 2021) . - n° 498 Titre : The impact of drought stress on the height growth of young norway spruce full-sib and half-sib clonal trials in Sweden and Finland Type de document : Article/Communication Auteurs : Haleh Hayatgheibi, Auteur ; Matti Haapanen, Auteur ; Jenny Lundströmer, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 498 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] clonage [Termes IGN] croissance des arbres [Termes IGN] Finlande [Termes IGN] génétique forestière [Termes IGN] hauteur des arbres [Termes IGN] Indice de précipitations antérieures [Termes IGN] Picea abies [Termes IGN] stress hydrique [Termes IGN] Suède [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) The summer drought of 2018 was one of the most climatically severe events in Europe that led to record-breaking temperatures and wildfires in many parts of Europe. The main objective of this study was to assess the impact of the 2018 drought on the phenotypic and genetic response of Norway spruce height growth using the Standardized Precipitation-Evapotranspiration Index (SPEI). To achieve this, the total cumulative height growth of about 6000 clones from 2016 to 2019 in four full-sib trials in Sweden, aged 6–7 years, and from 2017 to 2019 in two half-sib trials in Finland, aged 8–9 years, were measured. The results indicate that the 2018 drought caused reductions in the increment of trees. Although heritability estimates were similar to other reports for Norway spruce, the additive genetic variance was highly inflated in one of the visibly drought-damaged trials in Southern Sweden. Similarly, the genotype by environment (G × E) interaction was highly significant in the drought-damaged Southern Swedish trials. Both additive genetic and phenotypic correlations obtained between height increments in 2019 and final heights were the weakest in all studied trials, implying that the drought legacies might have influenced the recovery of trees in 2019. We may conclude that the severe drought can be an underlying factor for a strong G × E interaction and changes in the ranking of genotypes. Therefore, a selection of drought-resistant genotypes with a good growth capacity tested in variables sites should be considered as an important criterion for future breeding of Norway spruce. Numéro de notice : A2021-348 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.3390/f12040498 Date de publication en ligne : 16/04/2021 En ligne : https://doi.org/10.3390/f12040498 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97595 [article]

An improved rainfall-threshold approach for robust prediction and warning of flood and flash flood hazards / Geraldo Moura Ramos Filho in Natural Hazards, Vol 105 n° 3 (February 2021)  

Public [article]  inNatural Hazards > Vol 105 n° 3 (February 2021) . - pp 2409 - 2429 Titre : An improved rainfall-threshold approach for robust prediction and warning of flood and flash flood hazards Type de document : Article/Communication Auteurs : Geraldo Moura Ramos Filho, Auteur ; Victor Hugo Rabelo Coelho, Auteur ; Emerson da Silva Freitas, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 2409 - 2429 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] crue [Termes IGN] Indice de précipitations antérieures [Termes IGN] indice de risque [Termes IGN] inondation [Termes IGN] méthode robuste [Termes IGN] prévention des risques [Termes IGN] risque naturel [Termes IGN] Sao Paulo [Termes IGN] seuillage [Termes IGN] surveillance hydrologique Résumé : (auteur) This paper presents an improved method of using threshold of peak rainfall intensity for robust flood/flash flood evaluation and warnings in the state of São Paulo, Brazil. The improvements involve the use of two tolerance levels and the delineating of an intermediate threshold by incorporating an exponential curve that relates rainfall intensity and Antecedent Precipitation Index (API). The application of the tolerance levels presents an average increase of 14% in the Probability of Detection (POD) of flood and flash flood occurrences above the upper threshold. Moreover, a considerable exclusion (63%) of non-occurrences of floods and flash floods in between the two thresholds significantly reduce the number of false alarms. The intermediate threshold using the exponential curves also exhibits improvements for almost all time steps of both hydrological hazards, with the best results found for floods correlating 8-h peak intensity and 8 days API, with POD and Positive Predictive Value (PPV) values equal to 81% and 82%, respectively. This study provides strong indications that the new proposed rainfall threshold-based approach can help reduce the uncertainties in predicting the occurrences of floods and flash floods. Numéro de notice : A2020-204 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s11069-020-04405-x Date de publication en ligne : 03/11/2020 En ligne : https://doi.org/10.1007/s11069-020-04405-x Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97167 [article]

Estimating soil wetness using satellite data / B.J. Choudhury in International Journal of Remote Sensing IJRS, vol 9 n° 7 (July 1988)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 9 n° 7 (July 1988) . - pp 1251 - 1257 Titre : Estimating soil wetness using satellite data Type de document : Article/Communication Auteurs : B.J. Choudhury, Auteur ; R.E. Golus, Auteur Année de publication : 1988 Article en page(s) : pp 1251 - 1257 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Advanced Very High Resolution Radiometer [Termes IGN] humidité du sol [Termes IGN] image Nimbus [Termes IGN] Indice de précipitations antérieures [Termes IGN] indice de végétation [Termes IGN] National oceanic and atmospheric administration [Termes IGN] Oklahoma (Etats-Unis) [Termes IGN] pluie [Termes IGN] radiométrie [Termes IGN] Texas (Etats-Unis) Numéro de notice : A1988-167 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431168808954932 En ligne : https://doi.org/10.1080/01431168808954932 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=24746 [article]

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Quantifying spatial and temporal variabilities of microwave brightness temperature over the U.S. southern great plains / B.J. Choudhury in International Journal of Remote Sensing IJRS, vol 8 n° 2 (February 1987)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 8 n° 2 (February 1987) . - pp 177 - 191 Titre : Quantifying spatial and temporal variabilities of microwave brightness temperature over the U.S. southern great plains Type de document : Article/Communication Auteurs : B.J. Choudhury, Auteur ; M. Owe, Auteur ; S.N. Goward, Auteur ; R.E. Golus, Auteur ; J.P. Ormsby, Auteur Année de publication : 1987 Article en page(s) : pp 177 - 191 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] bande infrarouge [Termes IGN] bande visible [Termes IGN] corrélation [Termes IGN] Etats-Unis [Termes IGN] flore locale [Termes IGN] humidité de l'air [Termes IGN] hyperfréquence [Termes IGN] image multibande [Termes IGN] image Nimbus [Termes IGN] image NOAA-AVHRR [Termes IGN] Indice de précipitations antérieures [Termes IGN] luminance lumineuse [Termes IGN] pente [Termes IGN] plaine [Termes IGN] polarisation [Termes IGN] radiométrie [Termes IGN] température de luminance Numéro de notice : A1987-582 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431168708948625 En ligne : https://doi.org/10.1080/01431168708948625 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=24574 [article]

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