Determining variable weights for an Optimal Scaled Drought Condition Index (OSDCI): Evaluation in Central Asia

2019 ◽  
Vol 231 ◽  
pp. 111220 ◽  
Author(s):  
Hao Guo ◽  
Anming Bao ◽  
Tie Liu ◽  
Felix Ndayisaba ◽  
Liangliang Jiang ◽  
...  
Keyword(s):  
Central Asia ◽  
Condition Index ◽  
Drought Condition ◽  
Variable Weights

scholarly journals Monitoring Droughts in the Greater Changbai Mountains Using Multiple Remote Sensing-Based Drought Indices

2020 ◽  
Vol 12 (3) ◽  
pp. 530 ◽  
Author(s):  
Yang Han ◽  
Ziying Li ◽  
Chang Huang ◽  
Yuyu Zhou ◽  
Shengwei Zong ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Time Lag ◽  
Remote Sensing Data ◽  
Meteorological Drought ◽  
Condition Index ◽  
Temporal Variations ◽  
Changbai Mountains ◽  
Drought Indices ◽  
Drought Condition ◽  
Meteorological Observations

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 the period 2001–2018 were explored by calculating these indices from multi-source remote sensing data. Significant spatial–temporal variations were identified. The results of a slope analysis along with the F-statistic test showed that up to 20% of the study area showed a significant increasing or decreasing trend in drought. It was found that some drought indices cannot be explained by meteorological observations because of the time lag between meteorological drought and vegetation response. The drought condition and its changing pattern differ from various land cover types and indices, but the relative drought situation of different landforms is consistent among all indices. This work provides a basic reference for reasonably choosing drought indices for monitoring drought in the GCM to gain a better understanding of the ecosystem conditions and environment.

scholarly journals Mapping the Spatial and Temporal Variation of Agricultural and Metrological Drought Using Geospatial Techniques, Ethiopia

2020 ◽  
Author(s):  
Abebe Senamaw ◽  
Solomon Addisu ◽  
K.V. Suryabhagavan
Keyword(s):  
Temporal Variation ◽  
Crop Yield ◽  
Meteorological Drought ◽  
Condition Index ◽  
Agricultural Drought ◽  
Spatial And Temporal Variation ◽  
Drought Indices ◽  
Drought Risk ◽  
Drought Condition ◽  
Gis And Remote Sensing

Abstract Background Geographic Information System (GIS) and Remote Sensing play an important role for near real time monitoring of drought condition over large areas. The objective of this study was to assess spatial and temporal variation of agricultural and metrological drought using temporal image of eMODIS NDVI based vegetation condition index (VCI) and standard precipitation index (SPI). To validate the strength of drought indices correlation analysis was made between VCI and crop yield anomaly as well as SPI and crop yield anomaly. The results revealed that the year 2009 and 2015 were drought years while the 2001 and 2007 were wet years. There was also a good correlation between NDVI and rainfall (r=0.71), VCI and crop yield anomaly (0.72), SPI and crop yield anomaly (0.74). Frequency of metrological and agricultural drought was compiled by using historical drought intensity map. ResultThe result shows that there was complex and local scale variation in frequency of drought events in the study period. There was also no year without drought in many parts of the study area. Combined drought risk map also showed that 8%, 56%, 35% and 8% of study area were vulnerable to very severe, severe and moderate drought condition respectively. Conclusion In conclusion, the study area is highly vulnerable to agricultural and meteorological drought. Thus besides mapping drought vulnerable areas, integrating socioeconomic data for better understand other vulnerable factors were recommended.

Synergy of Satellite-Derived Drought Indices for Agricultural Drought Quantification and Yield Prediction

2020 ◽  
pp. 122-148
Author(s):  
Dipti Ladli ◽  
Kanhaiya Lal ◽  
Kiran Jalem ◽  
Avinash Kumar Ranjan
Keyword(s):  
Condition Index ◽  
District Level ◽  
Drought Indices ◽  
Yield Prediction ◽  
Drought Condition ◽  
Yield Model ◽  
Yield Data ◽  
Moderate Drought ◽  
Vegetation Health Index ◽  
Paddy Yield

The present study was conducted over Jharkhand state (India) for assessing the drought condition and corresponding yield of paddy (district-level) during Kharif 2018. Vegetation drought indices, namely Vegetation Condition Index (VCI), Temperature Condition Index (TCI), Vegetation Health Index (VHI), and vegetation indices (VI) anomaly, were derived from different VI (i.e., NDVI, EVI) to assess the paddy health condition during drought year (2018) and non-drought year (2017). Later, the correlation between the DES-based yield data and derived drought indices (for the year 2017) were made to develop the district-level paddy yield model for the drought year 2018. The key results of the study shown that VCI derived from EVI data was found to be more reasonable to depict the drought condition, wherein ~21% area was under severe drought condition, 43% area under moderate drought condition, and 36% area under no drought condition. In addition, the yield prediction model derived from VCI (EVI-based) was found to be promising for predicting the paddy yield for Kharif 2018 with fair R2 of 0.53.

scholarly journals Drought Risk Assessment in Cultivated Areas of Central Asia Using MODIS Time-Series Data

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1738
Author(s):  
Nurgul Aitekeyeva ◽  
Xinwu Li ◽  
Huadong Guo ◽  
Wenjin Wu ◽  
Zeeshan Shirazi ◽  
...  
Keyword(s):  
Central Asia ◽  
Vegetation Index ◽  
Time Series Data ◽  
Climate Change Impacts ◽  
Monitoring And Evaluation ◽  
Condition Index ◽  
Series Data ◽  
Drought Risk ◽  
Spatiotemporal Variations ◽  
Agriculture Sector

Drought is one of the most damaging environmental hazards and a naturally occurring phenomenon in Central Asia that is accompanied by crucial consequences for the agriculture sector. This research aimed at understanding the nature and extent of drought over the cropland regions of Central Asia with the help of spatiotemporal information from the region. We assessed drought occurrence using the vegetation health index (VHI). An algorithm was developed to reduce the noise of heterogeneous land surfaces by adjusting the vegetation index and brightness temperature. The vegetation condition index (VCI) and temperature condition index (TCI) were calculated using Moderate Resolution Imaging Spectroradiometer (MODIS) products for the growing season (April–September) from 2000 to 2015. The intense drought years were identified and a drought map (drought probability occurrence) was generated. The findings of this research indicated regional heterogeneity in the cropland areas having experienced droughts, observed through spatiotemporal variations. Some of the rain-fed and irrigated croplands of Kazakhstan demonstrated a higher vulnerability to annual drought occurrences and climate change impacts, while other cropland regions were found to be more resistant to such changes. The development of policy tools is required to support informed decision-making and planning processes to adapt to the occurrence of droughts. This could be achieved by the timely assessment, monitoring, and evaluation of the spatiotemporal distribution trends and variabilities of drought occurrences in this region. The results from this study focus on the spatiotemporal variations in drought to reveal the bigger picture in order to better understand the regional capacity for sustainable land management and agricultural activities within a changing environment.

The Russian Conquest of Central Asia

2020 ◽  
Author(s):  
Alexander Morrison
Keyword(s):  
Central Asia

ANALISIS FAKTOR-FAKTOR MINAT NASABAH MEMILIKI KARTU KREDIT BCA PADA PT. BANK CENTRAL ASIA CABANG MANGGA BESAR RAYA

2019 ◽  
Vol 11 (2B) ◽  
pp. 47
Author(s):  
Asna Manullang ◽  
Debih Arliana
Keyword(s):  
Central Asia ◽  
Product Price ◽  
Physical Evidence ◽  
Place Promotion ◽  
Promotion Process

Tingkat pencapaian minat nasabah untuk memiliki kartu kredit BCA dipengaruhi oleh delapan kelompok variabel yang dikenal sebagai 8P yaitu Product, Price, Place, Promotion, Process, Physical evidence, People dan Produktivity and quality. Penelitian dilakukan di PT.Bank Central Asia, Jalan Mangga Besar Raya No. 128 Jakarta Pusat. Tujuan dari penelitian adalah untuk mengetahui bagaimana pengaruh faktor-faktor minat nasabah memiliki kartu kredit BCA. Penelitian ini menggunakan 2 metoda yaitu metoda deskriptif yaitu mengembangkan produk dan jasa yang sudah ada dan analisa kuantitatif dibagi menjadi dua analisa yang pertama analisa uji validitas dan analisa uji reabilitas. Data yang dianalisa yaitu analisis faktorfaktor yang menjadi daya tarik konsumen untuk memiliki kartu kredit BCA dapat dihitung dan diteliti langsung, data dianalisis dengan menggunakan SPSS versi 16.0. Responden telah mengisi 33 pertanyaan yang disebut dengan variabel dengan nilai skor dan dibagi berdasarkan kelompok sebagai faktornya. Hasil analisis dapat disimpulkan daya tarik konsumen untuk memiliki kartu kredit BCA ada 7 faktor utama. Faktor pertama Produk dengan nilai varians (11,74), faktor ke dua adalah Harga dengan nilai varians (10,73%), faktor ke tiga adalah Distribusi dengan nilai varians (8%), faktor ke empat adalah Promosi dengan nilai varians (7,77%), faktor ke lima adalah Proses dengan nilai varians (6,75%), faktor ke enam adalah Fisik dengan nilai varians (6,28%) dan faktor ke tujuh adalah Kualitas dengan nilai varians (5,76%). Faktor produk merupakan faktor yang paling mempengaruhi konsumen untuk memiliki kartu kredit BCA. Faktor ini dapat menerangkan keragaman data (varians) sebesar 11,74%. Dari beberapa analisis yang diperoleh bahwa faktor produk sangat berpengaruhi positif terhadap keputusan konsumen dalam memiliki kartu kredit BCA karena konsumen menginginkan produk yang baik agar dapat mempermudah transaksi dimana saja dan kapan saja. Kata Kunci: BCA, kartu kredit, Keputusan Nasabah

The Elachistidae of southern Siberia and Central Asia, with descriptions of five new species (Lepidoptera)¹

1992 ◽  
Vol 3 (4) ◽  
pp. 177-194 ◽  
Author(s):  
Lauri Kaila
Keyword(s):  
New Species ◽  
Central Asia ◽  
Baikal Region ◽  
Tianshan Mountains ◽  
Previous Literature ◽  
Altai Mountains ◽  
Southern Siberia

The Elachistidae material collected during the joint Soviet-Finnish entomological expeditions to the Altai mountains, Baikal region and Tianshan mountains of the previous USSR is listed. Previous literature dealing with the Elachistidae in Central Asia is reviewed. A total of 40 species are dealt with, including descriptions of five new species: Stephensia jalmarella sp. n. (Altai), Elachista baikalica sp. n. (Baikal), E. talgarella sp. n. (southern Kazakhstan), E. esmeralda sp. n. (southern Kazakhstan) and E. filicornella sp. n. (southern Kazakhstan). The previously unknown females of E. bimaculata Parenti, 1981 and Biselachista zonulae Sruoga, 1992 are described.

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