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Journal articles on the topic 'Droughts – Remote sensing'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Mutowo, Godfrey, and David Chikodzi. "Remote sensing based drought monitoring in Zimbabwe." Disaster Prevention and Management 23, no. 5 (2014): 649–59. http://dx.doi.org/10.1108/dpm-10-2013-0181.

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Purpose – Drought monitoring is an important process for national agricultural and environmental planning. Droughts are normal recurring climatic phenomena that affect people and landscapes. They occur at different scales (locally, regionally, and nationally), and for periods of time ranging from weeks to decades. In Zimbabwe drought is increasingly becoming an annual phenomenon, with varying parts of the country being affected. The purpose of this paper is to analyse the spatial variations in the seasonal occurrences of drought in Zimbabwe over a period of five years. Design/methodology/appro

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Carvalho, Mairon Ânderson Cordeiro Correa de, Eduardo Morgan Uliana, Demetrius David da Silva, et al. "Drought Monitoring Based on Remote Sensing in a Grain-Producing Region in the Cerrado–Amazon Transition, Brazil." Water 12, no. 12 (2020): 3366. http://dx.doi.org/10.3390/w12123366.

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Drought is a natural disaster that affects a country’s economy and food security. The monitoring of droughts assists in planning assertive actions to mitigate the resulting environmental and economic impacts. This work aimed to evaluate the performance of the standardized precipitation index (SPI) using rainfall data estimated by orbital remote sensing in the monitoring of meteorological drought in the Cerrado–Amazon transition region, Brazil. Historical series from 34 rain gauge stations, in addition to indirect measurements of monthly precipitation obtained by remote sensing using the produc

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Zhang, Yao, Changhui Peng, Weizhong Li, et al. "Monitoring and estimating drought-induced impacts on forest structure, growth, function, and ecosystem services using remote-sensing data: recent progress and future challenges." Environmental Reviews 21, no. 2 (2013): 103–15. http://dx.doi.org/10.1139/er-2013-0006.

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Alongside global warming, droughts are expected to increase in frequency, severity, and extent in the near future, which will likely result in significant impacts on forest growth, production, structure, composition, and ecosystem services. However, due to spatial and temporal characteristics, it is difficult to monitor and assess the potential effects of droughts. Remote sensing can provide an effective way to obtain real-time conditions of forests affected by drought and offer a range of spatial and temporal insights into drought-induced changes to forest ecosystem structure, function, and s

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Andujar, Erika, Nir Y. Krakauer, Chuixiang Yi, and Felix Kogan. "Ecosystem Drought Response Timescales from Thermal Emission versus Shortwave Remote Sensing." Advances in Meteorology 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/8434020.

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Remote sensing is used for monitoring the impacts of meteorological drought on ecosystems, but few large-scale comparisons of the response timescale to drought of different vegetation remote sensing products are available. We correlated vegetation health products derived from polar-orbiting radiometer observations with a meteorological drought indicator available at different aggregation timescales, the Standardized Precipitation Evapotranspiration Index (SPEI), to evaluate responses averaged globally and over latitude and biome. The remote sensing products are Vegetation Condition Index (VCI)

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Inocêncio, Tiago de M., Alfredo Ribeiro Neto, and Alzira G. S. S. Souza. "Soil moisture obtained through remote sensing to assess drought events." Revista Brasileira de Engenharia Agrícola e Ambiental 24, no. 9 (2020): 575–80. http://dx.doi.org/10.1590/1807-1929/agriambi.v24n9p575-580.

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ABSTRACT The sequence of drought events in the Northeast of Brazil in recent decades raises attention to the importance of studying this phenomenon. The objective of this study was to evaluate the duration and severity of drought events from 1988 to 2018 in hydrographic basins of the state of Pernambuco, Brazil, using two drought indexes: Standardized Soil Moisture Index and Soil Moisture Condition Index, calculated based on data of the Soil Moisture Project of the European Space Agency’s Climate Change Initiative. The duration of the droughts was determined considering the months between thei

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Dalezios, N. R., A. Blanta, and N. V. Spyropoulos. "Assessment of remotely sensed drought features in vulnerable agriculture." Natural Hazards and Earth System Sciences 12, no. 10 (2012): 3139–50. http://dx.doi.org/10.5194/nhess-12-3139-2012.

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Abstract. The growing number and effectiveness of Earth observation satellite systems, along with the increasing reliability of remote sensing methodologies and techniques, present a wide range of new capabilities in monitoring and assessing droughts. A number of drought indices have been developed based on NOAA-AVHRR data exploiting the remote sensing potential at different temporal scales. In this paper, the remotely sensed Reconnaissance Drought Index (RDI) is employed for the quantification of drought. RDI enables the assessment of hydro-meteorological drought, since it uses hydrometeorolo

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Karnieli, Arnon, and Giorgio Dall'Olmo. "Remote‐sensing monitoring of desertification, phenology, and droughts." Management of Environmental Quality: An International Journal 14, no. 1 (2003): 22–38. http://dx.doi.org/10.1108/14777830310460360.

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Kim, Jong-Suk, Seo-Yeon Park, Joo-Heon Lee, Jie Chen, Si Chen, and Tae-Woong Kim. "Integrated Drought Monitoring and Evaluation through Multi-Sensor Satellite-Based Statistical Simulation." Remote Sensing 13, no. 2 (2021): 272. http://dx.doi.org/10.3390/rs13020272.

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To proactively respond to changes in droughts, technologies are needed to properly diagnose and predict the magnitude of droughts. Drought monitoring using satellite data is essential when local hydrogeological information is not available. The characteristics of meteorological, agricultural, and hydrological droughts can be monitored with an accurate spatial resolution. In this study, a remote sensing-based integrated drought index was extracted from 849 sub-basins in Korea’s five major river basins using multi-sensor collaborative approaches and multivariate dimensional reduction models that

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Han, Yang, Ziying Li, Chang Huang, et al. "Monitoring Droughts in the Greater Changbai Mountains Using Multiple Remote Sensing-Based Drought Indices." Remote Sensing 12, no. 3 (2020): 530. http://dx.doi.org/10.3390/rs12030530.

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Various drought indices have been developed to monitor drought conditions. Each index has typical characteristics that make it applicable to a specific environment. In this study, six popular drought indices, namely, precipitation condition index (PCI), temperature condition index (TCI), vegetation condition index (VCI), vegetation health index (VHI), scaled drought condition index (SDCI), and temperature–vegetation dryness index (TVDI), have been used to monitor droughts in the Greater Changbai Mountains(GCM) in recent years. The spatial pattern and temporal trend of droughts in this area in

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Park, Seonyoung, Eunkyo Seo, Daehyun Kang, Jungho Im, and Myong-In Lee. "Prediction of Drought on Pentad Scale Using Remote Sensing Data and MJO Index through Random Forest over East Asia." Remote Sensing 10, no. 11 (2018): 1811. http://dx.doi.org/10.3390/rs10111811.

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Rapidly developing droughts, including flash droughts, have frequently occurred throughout East Asia in recent years, causing significant damage to agricultural ecosystems. Although many drought monitoring and warning systems have been developed in recent decades, the short-term prediction of droughts (within 10 days) is still challenging. This study has developed drought prediction models for a short-period of time (one pentad) using remote-sensing data and climate variability indices over East Asia (20°–50°N, 90°–150°E) through random forest machine learning. Satellite-based drought indices

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Melo, Davi de C. D., Bridget R. Scanlon, Zizhan Zhang, Edson Wendland, and Lei Yin. "Reservoir storage and hydrologic responses to droughts in the Paraná River basin, south-eastern Brazil." Hydrology and Earth System Sciences 20, no. 11 (2016): 4673–88. http://dx.doi.org/10.5194/hess-20-4673-2016.

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Abstract. Droughts are particularly critical for Brazil because of impacts on water supply and because most (70 %) of its electricity is derived from hydroelectric generation. The Paraná basin (PB), a major hydroelectric producing region with 32 % (60 million people) of Brazil's population, recently experienced the most severe drought since the 1960s, compromising the water supply for 11 million people in São Paulo. The objective of this study is to quantify linkages between meteorological and hydrological droughts based on remote sensing, modelling, and monitoring data using the Paraná River

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Juma, Mwajuma, and Deogratias M. M. Mulungu. "Analysis of Drought Using Meteorological and Microwave Remote Sensed Data: A Case of Wami Watershed, Tanzania." Tanzania Journal of Engineering and Technology 37, no. 2 (2018): 107–24. http://dx.doi.org/10.52339/tjet.v37i2.487.

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Agricultural sector is important for the economy of Tanzania, but in recent years there is decline in its growth and performance because of persistent droughts. An in-depth study of droughts was conducted on Wami watershed through rainfall and satellite microwave remote sensing data leading for estimates of meteorological droughts and soil moisture based droughts, respectively. Rainfall data during 1973-2008 was used to obtain Drought Severity Index (DSI) and active imaging microwave radar data during 1997-2009 from ESA’s SAR missions of ENVISAT and ERS was used to obtain soil moisture anomali

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Anderson, Liana O., Yadvinder Malhi, Luiz E. O. C. Aragão, et al. "Remote sensing detection of droughts in Amazonian forest canopies." New Phytologist 187, no. 3 (2010): 733–50. http://dx.doi.org/10.1111/j.1469-8137.2010.03355.x.

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Avetisyan, Daniela, Denitsa Borisova, and Emiliya Velizarova. "Integrated Evaluation of Vegetation Drought Stress through Satellite Remote Sensing." Forests 12, no. 8 (2021): 974. http://dx.doi.org/10.3390/f12080974.

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In the coming decades, Bulgaria is expected to be affected by higher air temperatures and decreased precipitation, which will significantly increase the risk of droughts, forest ecosystem degradation and loss of ecosystem services (ES). Drought in terrestrial ecosystems is characterized by reduced water storage in soil and vegetation, affecting the function of landscapes and the ES they provide. An interdisciplinary assessment is required for an accurate evaluation of drought impact. In this study, we introduce an innovative, experimental methodology, incorporating remote sensing methods and a

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Aswathi, P. V., B. R. Nikam, A. Chouksey, and S. P. Aggarwal. "ASSESSMENT AND MONITORING OF AGRICULTURAL DROUGHTS IN MAHARASHTRA USING METEOROLOGICAL AND REMOTE SENSING BASED INDICES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5 (November 15, 2018): 253–64. http://dx.doi.org/10.5194/isprs-annals-iv-5-253-2018.

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<p><strong>Abstract.</strong> Drought is a recurring climatic event characterized by slow onset, a gradual increase in its intensity, and persistence for a long period depending upon the availability of water. Droughts, broadly classified into meteorological, hydrological and agricultural drought, which are interconnected to each other. India, being an agriculture based economy depends primarily on agriculture production for its economic development and stability. The occurrence of agriculture drought affects the agricultural yield, which affects the regional economy to a lar

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Cunha, Ana Paula M. A., Marcelo Zeri, Karinne Deusdará Leal, et al. "Extreme Drought Events over Brazil from 2011 to 2019." Atmosphere 10, no. 11 (2019): 642. http://dx.doi.org/10.3390/atmos10110642.

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Drought-related disasters are among the natural disasters that are able to cause large economic and social losses. In recent years, droughts have affected different regions of Brazil, impacting water, food, and energy security. In this study, we used the Integrated Drought Index (IDI), which combines a meteorological-based drought index and remote sensing-based index, to assess the drought events from 2011 to 2019 over Brazil. During this period, drought events were observed throughout the country, being most severe and widespread between the years 2011 and 2017. In most of the country, the 20

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Zagade, Nayan, Ajaykumar Kadam, Bhavana Umrikar, and Bhagyashri Maggirwar. "Remote Sensing Based Assessment of Agricultural Droughts in Sub-Watersheds of Upper Bhima Basin, India." Remote Sensing of Land 2, no. 2 (2019): 105–11. http://dx.doi.org/10.21523/gcj1.18020204.

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Drought assessment for agricultural sector is vital in order to deal with the water scarcity in Ahmednagar and Pune districts, particularly in sub-watersheds of upper catchment of the River Bhima. Moderate Resolution Imaging Spectro-radiometer (MODIS) satellite data (2000, 2002, 2009, 2014, 2015 and 2017) for the years receiving less rainfall have been procured and various indices were computed to understand the intensity of agricultural droughts in the area. Vegetation health index (VHI) is computed on the basis of vegetation moisture, vegetation condition and land surface temperature conditi

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Bhaga, Trisha Deevia, Timothy Dube, Munyaradzi Davis Shekede, and Cletah Shoko. "Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review." Remote Sensing 12, no. 24 (2020): 4184. http://dx.doi.org/10.3390/rs12244184.

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Climate variability and recurrent droughts have caused remarkable strain on water resources in most regions across the globe, with the arid and semi-arid areas being the hardest hit. The impacts have been notable on surface water resources, which are already under threat from massive abstractions due to increased demand, as well as poor conservation and unsustainable land management practices. Drought and climate variability, as well as their associated impacts on water resources, have gained increased attention in recent decades as nations seek to enhance mitigation and adaptation mechanisms.

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Bucur, Andreea, Gregor Gregorič, Aleš Grlj, Žiga Kokalj, and Andreja Sušnik. "Tool for Drought Monitoring in the Danube Region – Methods and Preliminary Developments." Journal of Environmental Geography 11, no. 3-4 (2018): 67–75. http://dx.doi.org/10.2478/jengeo-2018-0014.

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Abstract Drought is a naturally recurring phenomenon of the climate system that affects virtually all regions of the world. During the past decades extreme droughts with extensive negative effects on ecosystems became evident also in the Danube region. At the moment regional capacity to monitor drought is still very diverse and not synchronised among different countries. In this is paper, we present a recently developed drought monitoring tool – the Drought User Service (DUS) for the Danube region using remote-sensing products which aims at offering a more accurate and in near-real-time monito

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Osgood, Daniel, Bristol Powell, Rahel Diro, et al. "Farmer Perception, Recollection, and Remote Sensing in Weather Index Insurance: An Ethiopia Case Study." Remote Sensing 10, no. 12 (2018): 1887. http://dx.doi.org/10.3390/rs10121887.

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A challenge in addressing climate risk in developing countries is that many regions have extremely limited formal data sets, so for these regions, people must rely on technologies like remote sensing for solutions. However, this means the necessary formal weather data to design and validate remote sensing solutions do not exist. Therefore, many projects use farmers’ reported perceptions and recollections of climate risk events, such as drought. However, if these are used to design risk management interventions such as insurance, there may be biases and limitations which could potentially lead

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He, Yuanhuizi, Fang Chen, Huicong Jia, Lei Wang, and Valery G. Bondur. "Different Drought Legacies of Rain-Fed and Irrigated Croplands in a Typical Russian Agricultural Region." Remote Sensing 12, no. 11 (2020): 1700. http://dx.doi.org/10.3390/rs12111700.

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Droughts are one of the primary natural disasters that affect agricultural economies, as well as the fire hazards of territories. Monitoring and researching droughts is of great importance for agricultural disaster prevention and reduction. The research significance of investigating the hysteresis of agricultural to meteorological droughts is to provide an important reference for agricultural drought monitoring and early warnings. Remote sensing drought monitoring indices can be employed for rapid and accurate drought monitoring at regional scales. In this paper, the Moderate Resolution Imagin

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Janssen, Thomas, Ype van der Velde, Florian Hofhansl, et al. "Drought effects on leaf fall, leaf flushing and stem growth in the Amazon forest: reconciling remote sensing data and field observations." Biogeosciences 18, no. 14 (2021): 4445–72. http://dx.doi.org/10.5194/bg-18-4445-2021.

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Abstract. Large amounts of carbon flow through tropical ecosystems every year, from which a part is sequestered in biomass through tree growth. However, the effects of ongoing warming and drying on tree growth and carbon sequestration in tropical forest is still highly uncertain. Field observations are sparse and limited to a few sites, while remote sensing analysis shows diverging growth responses to past droughts that cannot be interpreted with confidence. To reconcile data from field observations and remote sensing, we collated in situ measurements of stem growth and leaf litterfall from in

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Sarker, Md, Nichol Janet, Siti Mansor, et al. "An Integrated Method for Identifying Present Status and Risk of Drought in Bangladesh." Remote Sensing 12, no. 17 (2020): 2686. http://dx.doi.org/10.3390/rs12172686.

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The occurrence and severity of agricultural droughts may not be dependent upon climatic variables alone. Rather increasingly, drought is affected by human interventions such as irrigation. Anthropogenic activity has introduced uncertainty in the assessment of current drought and future drought risk in many parts of the world; neither climatic nor remote sensing data alone are able to assess drought conditions effectively. In response, we present a simple approach to assess drought by combining a remote sensing-based drought index, the Temperature Vegetation Dryness Index (TVDI), climate data (

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Caioni, Charles, Divino Vicente Silvério, Marcia N. Macedo, Michael T. Coe, and Paulo M. Brando. "Droughts Amplify Differences Between the Energy Balance Components of Amazon Forests and Croplands." Remote Sensing 12, no. 3 (2020): 525. http://dx.doi.org/10.3390/rs12030525.

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Droughts can exert a strong influence on the regional energy balance of the Amazon and Cerrado, as can the replacement of native vegetation by croplands. What remains unclear is how these two forcing factors interact and whether land cover changes fundamentally alter the sensitivity of the energy balance components to drought events. To fill this gap, we used remote sensing data to evaluate the impacts of drought on evapotranspiration (ET), land surface temperature (LST), and albedo on cultivated areas, savannas, and forests. Our results (for seasonal drought) indicate that increases in monthl

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Yuan, Xing, Zhuguo Ma, Ming Pan, and Chunxiang Shi. "Microwave remote sensing of short‐term droughts during crop growing seasons." Geophysical Research Letters 42, no. 11 (2015): 4394–401. http://dx.doi.org/10.1002/2015gl064125.

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Sun, Xiaofang, Meng Wang, Guicai Li, and Yuanyuan Wang. "Regional-scale drought monitor using synthesized index based on remote sensing in northeast China." Open Geosciences 12, no. 1 (2020): 163–73. http://dx.doi.org/10.1515/geo-2020-0037.

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AbstractDrought has a significant impact on agricultural, ecological, and socioeconomic spheres. Although many drought indices have been proposed until now, the detection of droughts at regional scales still needs to be further studied. The Standardized Vegetation Index (SVI) that represents vegetation growing condition, the Standardized Water Index (SWI) that represents canopy water content, and the Evaporative Stress Index (ESI) that quantifies anomalies in the ratio of actual to potential evapotranspiration were calculated based on the Moderate-resolution Imaging Spectroradiometer (MODIS) d

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Fitriyah, Atiqotun, Alvin Fatikhunnada, Fumi Okura, Bayu Dwi Apri Nugroho, and Tasuku Kato. "Analysis of the Drought Mitigated Mechanism in Terraced Paddy Fields Using CWSI and TVDI Indices and Hydrological Monitoring." Sustainability 11, no. 24 (2019): 6897. http://dx.doi.org/10.3390/su11246897.

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Food security is often threatened by droughts during rice production. Although most of the rice is produced in lowland or irrigated “wet” rice fields, terraced paddy fields are important in the rice production system in island or mountainous countries. With the intensifying frequency of El Niño periods in recent decades, there has been a risk of droughts in terraced paddy areas. To mitigate drought, remote sensing data analysis could be an efficient and reliable tool for obtaining scarce ground monitoring data. In this study, crop water stress index (CWSI) and temperature vegetation dryness in

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Ahmadi, Behzad, Ali Ahmadalipour, Glenn Tootle, and Hamid Moradkhani. "Remote Sensing of Water Use Efficiency and Terrestrial Drought Recovery across the Contiguous United States." Remote Sensing 11, no. 6 (2019): 731. http://dx.doi.org/10.3390/rs11060731.

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Ecosystem water-use efficiency (WUE) is defined as the ratio of carbon gain (i.e., gross primary productivity; GPP) to water consumption (i.e., evapotranspiration; ET). WUE is markedly influential on carbon and water cycles, both of which are fundamental for ecosystem state, climate and the environment. Drought can affect WUE, subsequently disturbing the composition and functionality of terrestrial ecosystems. In this study, the impacts of drought on WUE and its components (i.e., GPP and ET) are assessed across the Contiguous US (CONUS) at fine spatial and temporal resolutions. Soil moisture s

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Abuzar, Muhammad Khubaib, Muhammad Shafiq, Syed Amer Mahmood, et al. "Drought Risk Assessment in the Khushab Region of Pakistan Using Satellite Remote Sensing and Geospatial Methods." International Journal of Economic and Environmental Geology 10, no. 1 (2019): 48–56. http://dx.doi.org/10.46660/ijeeg.vol10.iss1.2019.217.

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Drought is a harmful and slow natural phenomenon that has significant effects on the economy, social life,agriculture and environment of the country. Due to its slow process it is difficult to study this phenomenon. RemoteSensing and GIS tools play a key role in studying different hazards like droughts. The main objective of the study wasto investigate drought risk by using GIS and Remote Sensing techniques in district Khushab, Pakistan. Landsat ETMimages for the year 2003, 2009 and 2015 were utilized for spatial and temporal analysis of agricultural andmeteorological drought. Normalized diffe

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Abuzar, Muhammad Khubaib, Muhammad Shafiq, Syed Amer Mahmood, et al. "Drought Risk Assessment in the Khushab Region of Pakistan Using Satellite Remote Sensing and Geospatial Methods." International Journal of Economic and Environmental Geology 10, no. 1 (2019): 48–56. http://dx.doi.org/10.46660/ojs.v10i1.217.

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Drought is a harmful and slow natural phenomenon that has significant effects on the economy, social life,agriculture and environment of the country. Due to its slow process it is difficult to study this phenomenon. RemoteSensing and GIS tools play a key role in studying different hazards like droughts. The main objective of the study wasto investigate drought risk by using GIS and Remote Sensing techniques in district Khushab, Pakistan. Landsat ETMimages for the year 2003, 2009 and 2015 were utilized for spatial and temporal analysis of agricultural andmeteorological drought. Normalized diffe

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Tran-Thi, Van, Ha Nguyen Ngan, Viet Ha Quoc, Long Nguyen Hoang, and Bao Ha Duong Xuan. "Method of drought evaluation for a territory by the land surface temperature and vegetation relationship from remote sensing data." Science & Technology Development Journal - Engineering and Technology 2, no. 4 (2020): First. http://dx.doi.org/10.32508/stdjet.v2i4.610.

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Facing the current trend of climate change, which is difficult to control, human life, as well as food sources, are increasingly seriously threatened by droughts that occur more frequently. Understanding the region's drought will help people avoid risks. The paper presents research on the method of assessing drought situations based on the integration of land surface temperature and vegetation characteristics in the drought index according to the Temperature Vegetation Dryness Index TVDI from remote sensing data. Landsat satellite images were used with image processing methods to test the drou

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Shofiyati, Rizatus, Wataru Takeuchi, Soni Darmawan, and Parwati Sofan. "AN EFFECTIVE INFORMATION SYSTEM OF DROUGHT IMPACT ON RICE PRODUCTION BASED ON REMOTE SENSING." International Journal of Remote Sensing and Earth Sciences (IJReSES) 11, no. 2 (2017): 153. http://dx.doi.org/10.30536/j.ijreses.2014.v11.a2613.

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Long droughts experienced in the past are identified as one of the main factors in the failure of rice production. In this regard, special attention to monitor the condition is encouraged to reduce the damage. Currently, various satellite data and approaches can withdraw valuable information for monitoring and anticipating drought hazards. MODIS, MTSAT, AMSR-E, TRMM and GSMaP have been used in this activity. Meteorological drought index (SPI) of the daily and monthly rainfall data from TRMM and GSMaP have analyzed for last 10-year period. While, agronomic drought index has been studied by obse

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Das, Animesh Chandra, Ryozo Noguchi, and Tofael Ahamed. "An Assessment of Drought Stress in Tea Estates Using Optical and Thermal Remote Sensing." Remote Sensing 13, no. 14 (2021): 2730. http://dx.doi.org/10.3390/rs13142730.

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Drought is one of the detrimental climatic factors that affects the productivity and quality of tea by limiting the growth and development of the plants. The aim of this research was to determine drought stress in tea estates using a remote sensing technique with the standardized precipitation index (SPI). Landsat 8 OLI/TIRS images were processed to measure the land surface temperature (LST) and soil moisture index (SMI). Maps for the normalized difference moisture index (NDMI), normalized difference vegetation index (NDVI), and leaf area index (LAI), as well as yield maps, were developed from

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Lyalko, Vadym I., Inna F. Romanciuc, Lesia A. Yelistratova, Aleksandr A. Apostolov, and Viktor M. Chekhniy. "Detection of Changes in Terrestrial Ecosystems of Ukraine Using Remote Sensing Data." Journal of Geology, Geography and Geoecology 29, no. 1 (2020): 102–10. http://dx.doi.org/10.15421/112010.

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In recent years, Ukraine has been affected by climate change. This has led to frequent extreme weather events (heavy / high rains, floods, droughts, squalls). As a result of droughts, desertification is one of the most dangerous and transient consequences of modern climate change. The research is devoted to the diagnostic assessment of the modern climate of Ukraine. Remote sensing data and instrumental observations of 30 weather stations of Ukraine were used. Temperature increase was registered in the study area by all stations, which significantly affected the level of precipitation. At the m

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Shahzaman, Muhammad, Weijun Zhu, Irfan Ullah, et al. "Comparison of Multi-Year Reanalysis, Models, and Satellite Remote Sensing Products for Agricultural Drought Monitoring over South Asian Countries." Remote Sensing 13, no. 16 (2021): 3294. http://dx.doi.org/10.3390/rs13163294.

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The substantial reliance of South Asia (SA) to rain-based agriculture makes the region susceptible to food scarcity due to droughts. Previously, most research on SA has emphasized the meteorological aspects with little consideration of agrarian drought impressions. The insufficient amount of in situ precipitation data across SA has also hindered thorough investigation in the agriculture sector. In recent times, models, satellite remote sensing, and reanalysis products have increased the amount of data. Hence, soil moisture, precipitation, terrestrial water storage (TWS), and vegetation conditi

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Flach, Milan, Alexander Brenning, Fabian Gans, Markus Reichstein, Sebastian Sippel, and Miguel D. Mahecha. "Vegetation modulates the impact of climate extremes on gross primary production." Biogeosciences 18, no. 1 (2021): 39–53. http://dx.doi.org/10.5194/bg-18-39-2021.

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Abstract. Drought and heat events affect the uptake and sequestration of carbon in terrestrial ecosystems. Factors such as the duration, timing, and intensity of extreme events influence the magnitude of impacts on ecosystem processes such as gross primary production (GPP), i.e., the ecosystem uptake of CO2. Preceding soil moisture depletion may exacerbate these impacts. However, some vegetation types may be more resilient to climate extremes than others. This effect is insufficiently understood at the global scale and is the focus of this study. Using a global upscaled product of GPP that sca

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Anderson, Liana Oighenstein, Germano Ribeiro Neto, Ana Paula Cunha, et al. "Vulnerability of Amazonian forests to repeated droughts." Philosophical Transactions of the Royal Society B: Biological Sciences 373, no. 1760 (2018): 20170411. http://dx.doi.org/10.1098/rstb.2017.0411.

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Extreme droughts have been recurrent in the Amazon over the past decades, causing socio-economic and environmental impacts. Here, we investigate the vulnerability of Amazonian forests, both undisturbed and human-modified, to repeated droughts. We defined vulnerability as a measure of (i) exposure, which is the degree to which these ecosystems were exposed to droughts, and (ii) its sensitivity, measured as the degree to which the drought has affected remote sensing-derived forest greenness. The exposure was calculated by assessing the meteorological drought, using the standardized precipitation

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Bernardino, Paulo N., Martin Brandt, Wanda De Keersmaecker, et al. "Uncovering Dryland Woody Dynamics Using Optical, Microwave, and Field Data—Prolonged Above-Average Rainfall Paradoxically Contributes to Woody Plant Die-Off in the Western Sahel." Remote Sensing 12, no. 14 (2020): 2332. http://dx.doi.org/10.3390/rs12142332.

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Dryland ecosystems are frequently struck by droughts. Yet, woody vegetation is often able to recover from mortality events once precipitation returns to pre-drought conditions. Climate change, however, may impact woody vegetation resilience due to more extreme and frequent droughts. Thus, better understanding how woody vegetation responds to drought events is essential. We used a phenology-based remote sensing approach coupled with field data to estimate the severity and recovery rates of a large scale die-off event that occurred in 2014–2015 in Senegal. Novel low (L-band) and high-frequency (

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Alam, Sarfaraz, Mekonnen Gebremichael, and Ruopu Li. "Remote Sensing-Based Assessment of the Crop, Energy and Water Nexus in the Central Valley, California." Remote Sensing 11, no. 14 (2019): 1701. http://dx.doi.org/10.3390/rs11141701.

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An integrated assessment of crop-energy-water (CEW) nexus is critical to understand the tradeoffs and synergies for better management of sustainable agricultural systems. In this study, we evaluate the historic evolution of CEW interactions in the Central Valley, California, a critical agricultural region that produces approximately 50% of US fruits, nuts and vegetables. Specifically, we consider three nexus elements, including water use for irrigation (blue water), energy use for groundwater pumping, and crop yield (for all crops aggregated, almond and cotton). To quantify the interactions be

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Qu, Xing, Ziyue Zeng, Zhe Yuan, Junjun Huo, Yongqiang Wang, and Jijun Xu. "River Runoff Modelling and Hydrological Drought Assessment Based on High-Resolution Brightness Temperatures in Mainland China." Water 13, no. 17 (2021): 2429. http://dx.doi.org/10.3390/w13172429.

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Under the background of global climate change, drought is causing devastating impacts on the balance of the regional water resources system. Hydrological drought assessment is critical for drought prevention and water resources management. However, in China to assess hydrological drought at national scale is still challenging basically because of the difficulty of obtaining runoff data. In this study, we used the state-of-the-art passive microwave remote sensing techniques in river runoff modelling and thus assessed hydrological drought in Mainland China in 1996–2016. Specifically, 79 typical

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Ghazaryan, Gohar, Simon König, Ehsan Eyshi Rezaei, Stefan Siebert, and Olena Dubovyk. "Analysis of Drought Impact on Croplands from Global to Regional Scale: A Remote Sensing Approach." Remote Sensing 12, no. 24 (2020): 4030. http://dx.doi.org/10.3390/rs12244030.

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Drought is one of the extreme climatic events that has a severe impact on crop production and food supply. Our main goal is to test the suitability of remote sensing-based indices to detect drought impacts on crop production from a global to regional scale. Moderate resolution imaging spectroradiometer (MODIS) based imagery, spanning from 2001 to 2017 was used for this task. This includes the normalized difference vegetation index (NDVI), land surface temperature (LST), and the evaporative stress index (ESI), which is based on the ratio of actual to potential evapotranspiration. These indices

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Törnros, T., and L. Menzel. "Characterizing droughts under current and future climates in the Jordan River region." Hydrology and Earth System Sciences Discussions 10, no. 5 (2013): 5875–902. http://dx.doi.org/10.5194/hessd-10-5875-2013.

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Abstract. The Standardized Precipitation Index (SPI) was applied in order to address the characteristics of current and future agricultural droughts in the Jordan River region located in the southeastern Mediterranean area. In the first step, the SPI was applied on spatially interpolated monthly precipitation data at multiple timescales, i.e. accumulated precipitation was considered over a number of timescales, for example: 1, 3, and 6 months. To investigate the performance of the drought index, correlation analyses were conducted with the Normalized Difference Vegetation Index (NDVI) obtained

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Saxena, S., K. Choudhary, R. Saxena, A. Rabha, P. Tahlani, and S. S. Ray. "COMPARISON OF AGRICULTURAL SITUATION OF INDIA FOR TWO YEARS (2017 AND 2018) USING VARIOUS DROUGHT ASSESSMENT INDICATORS DURING SOUTH WEST MONSOON SEASON IN INDIA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 499–505. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-499-2019.

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<p><strong>Abstract.</strong> Agricultural drought is concerned with the soil moisture deficiency in relation to meteorological droughts and climatic factors and their impacts on agricultural production and economic profitability. Present study is based on two years <i>kharif</i> seasons i.e. 2018 and 2017, comparison of drought assessment using remote sensing, soil moisture indices, rainfall and crop sown area as per the New Drought Manual, December, 2016. The drought assessment was carried out at district and sub-district level under National Agricultural Drough

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Boloorani, Ali Darvishi, Soghra Ranjbareslamloo, Saham Mirzaie, Hossein Ali Bahrami, Fardin Mirzapour, and Nadia Abbaszadeh Tehrani. "Analysis of Persian Oak (Quercus Brantii Lindl)’s Spectral- Temporal Behaviour Under the Stresses of Water Deficiency and Dust Particles." E3S Web of Conferences 99 (2019): 04011. http://dx.doi.org/10.1051/e3sconf/20199904011.

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Persian oak (Quercus Brantii Lindl) is the most abundant tree species in Zagros mountain range that is affected by western dust storms and harsh droughts in recent years. The lack of spectral-temporal information about these trees has caused limitations on the usage of remote sensing images to make a synoptic estimation of damages caused by dust storms and drought. The objective of this research is to analyse the spectral-temporal behaviour of Persian oak under the stress of water deficiency and dust storms. The aim is to improve the competitive abilities of experts on modelling the stress of

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Getirana, Augusto. "Extreme Water Deficit in Brazil Detected from Space." Journal of Hydrometeorology 17, no. 2 (2016): 591–99. http://dx.doi.org/10.1175/jhm-d-15-0096.1.

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Abstract Extreme droughts have caused significant socioeconomic and environmental damage worldwide. In Brazil, ineffective energy development and water management policies have magnified the impacts of recent severe droughts, which include massive agricultural losses, water supply restrictions, and energy rationing. Spaceborne remote sensing data advance our understanding of the spatiotemporal variability of large-scale droughts and enhance the detection and monitoring of extreme water-related events. In this study, data derived from the Gravity Recovery and Climate Experiment (GRACE) mission

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Chen, Shaodan, Liping Zhang, Xin Liu, Mengyao Guo, and Dunxian She. "The Use of SPEI and TVDI to Assess Temporal-Spatial Variations in Drought Conditions in the Middle and Lower Reaches of the Yangtze River Basin, China." Advances in Meteorology 2018 (August 29, 2018): 1–11. http://dx.doi.org/10.1155/2018/9362041.

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Droughts represent the most complex and damaging type of natural disaster, and they have taken place with increased frequency in China in recent years. Values of the standardized precipitation evapotranspiration index (SPEI) calculated using station-based meteorological data collected from 1961 to 2013 in the middle and lower reaches of the Yangtze River Basin (MLRYRB) are used to monitor droughts. In addition, the SPEI is determined for different timescales (1, 3, 6, and 12 months) to characterize dry or wet conditions in this study area. Moreover, remote sensing methods can cover large areas

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Katarzyna, Kubiak, Stypułkowska Justyna, Szymański Jakub, and Spiralski Marcin. "Estimation of Bare Soil Moisture from Remote Sensing Indices in the 0.4–2.5 mm Spectral Range." Transactions on Aerospace Research 2021, no. 2 (2021): 1–11. http://dx.doi.org/10.2478/tar-2021-0007.

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Abstract Soil moisture content (SMC) is an important element of the environment, influencing water availability for plants and atmospheric parameters, and its monitoring is important for predicting floods or droughts and for weather and climate modeling. Optical methods for measuring soil moisture use spectral reflection analysis in the 350–2500 nm range. Remote sensing is considered to be an effective tool for monitoring soil parameters over large areas and to be more cost effective than in situ measurements. The aim of this study was to assess the SMC of bare soil on the basis of hyperspectr

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Wang, Yujuan, Shudong Wang, Shengtian Yang, Yuling Zhao, Mingcheng Wang, and Banghui Yang. "Application of FY-2 precipitation data in meteorological drought monitoring of the Weihe river basin." World Journal of Engineering 11, no. 5 (2014): 487–94. http://dx.doi.org/10.1260/1708-5284.11.5.487.

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The remote sensing data have become the irreplaceable source of data for the regions with little or without rainfall data, but these data also require scientific analysis, correction and application. This paper uses FY-2 rainfall data and the case studies of the droughts occurred in the Weihe River Basin from 2006 to 2009 to monitor the spatial and temporal evolution of climatic droughts. The monitoring results indicate that: (1) Except for 2008 which was a dry year, the other years in the Weihe River Basin had normal dry/wet conditions; (2) From October 2008 to January 2009, the rainfall was

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Jeon, Min-Gi, Won-Ho Nam, Hee-Jin Lee, Eun-Mi Hong, Seonah Hwang, and Seung-Oh Hur. "Drought Risk Assessment for Upland Crops using Satellite-derived Evapotranspiration and Soil Available Water Capacity." Journal of the Korean Society of Hazard Mitigation 21, no. 1 (2021): 25–33. http://dx.doi.org/10.9798/kosham.2021.21.1.25.

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Agricultural drought can have long-lasting and harmful impacts on both the agricultural ecosystem and economy. Recently, as climate change has increased global warming, the frequency and intensity of droughts are increasing as weather and environmental factors that directly affect agriculture are rapidly changing. In South Korea, severe droughts have occurred every year for the past seven years. Compared to paddies supplied with water from agricultural reservoirs, upland crops are highly vulnerable to drought due to a lack of irrigation facilities. The consumption requirements for upland crops

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Gao, Maofang, Zhihao Qin, Hong’ou Zhang, Liping Lu, Xia Zhou, and Xiuchun Yang. "Remote Sensing of Agro-droughts in Guangdong Province of China Using MODIS Satellite Data." Sensors 8, no. 8 (2008): 4687–708. http://dx.doi.org/10.3390/s8084687.

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