Local-scale agricultural drought monitoring with satellite-based multi-sensor time-series     

Gohar Ghazaryan  Olena Dubovyk  Valerie Graw  Nataliia Kussul  Jürgen Schellberg 《地理信息系统科学与遥感》2020,57(5):704-718

ABSTRACT

Globally, drought constitutes a serious threat to food and water security. The complexity and multivariate nature of drought challenges its assessment, especially at local scales. The study aimed to assess spatiotemporal patterns of crop condition and drought impact at the spatial scale of field management units with a combined use of time-series from optical (Landsat, MODIS, Sentinel-2) and Synthetic Aperture Radar (SAR) (Sentinel 1) data. Several indicators were derived such as Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), Land Surface Temperature (LST), Tasseled cap indices and Sentinel-1 based backscattering intensity and relative surface moisture. We used logistic regression to evaluate the drought-induced variability of remotely sensed parameters estimated for different phases of crop growth. The parameters with the highest prediction rate were further used to estimate thresholds for drought/non-drought classification. The models were evaluated using the area under the receiver operating characteristic curve and validated with in-situ data. The results revealed that not all remotely sensed variables respond in the same manner to drought conditions. Growing season maximum NDVI and NDMI (70–75%) and SAR derived metrics (60%) reflect specifically the impact of agricultural drought. These metrics also depict stress affected areas with a larger spatial extent. LST was a useful indicator of crop condition especially for maize and sunflower with prediction rates of 86% and 71%, respectively. The developed approach can be further used to assess crop condition and to support decision-making in areas which are more susceptible and vulnerable to drought.  相似文献   

Beyond the boom-bust cycle: An interdisciplinary framework for analysing crop booms     

《Global Environmental Change》2023

The expansion of commercial agriculture is one of the primary drivers of livelihood and land-use changes in the world. Globalisation and other factors have intensified this expansion to the point where booms in single cash crops overtake entire regions before going bust, a pattern that is particularly pervasive in resource frontiers. Using case studies across the Mekong Region, a place which serves as a harbinger for crop booms globally, we propose a new analytical framework for understanding and governing crop booms. We combine multiple theoretical approaches to study crop booms and draw on insights from case study work conducted across temporal and spatial scales. The framework consists of three components: 1) the nested nature of crop boom-bust trajectories, 2) the cyclical spatial and temporal patterns of crop booms, and 3) the variegated pathways and impacts of agrarian change. The framework presents new insights into the processes of agricultural intensification in frontier spaces. As such, it facilitates a better understanding of the drivers, characteristics and impacts of crop booms for researchers and decision-makers alike with the intention of supporting efforts to develop more sustainable pathways in the region and beyond.  相似文献   

Utilization of Resourcesat-1 data for improved crop discrimination     

M.V.R. Sesha Sai  P.V. Narasimha Rao 《International Journal of Applied Earth Observation and Geoinformation》2008,10(2):206-1

Subsequent to the launch of the state-of-art third generation Indian Remote Sensing satellite, Resourcesat-1, studies have been conducted to understand the capabilities of the on-board sensors for crop discrimination. The paper discusses the unique capabilities of the AWiFS, LISS-III and LISS-IV sensors in terms of their dimensionality, radiometry and spatial resolutions for crop discrimination and monitoring. The studies have indicated better crop discriminability especially using the short wave infrared data in 1.55–1.70 μm data among the spectrally confusing land cover classes, attributed to the relative differences of water contents. 10-bit radiometry of AWiFS data in four bands has been observed to be a better discriminant. Intrafield variability was very well captured by the LISS-IV data revealing the potential of data for applications like precision farming. The studies have revealed that potential of Resourcesat-1 data becoming the workhorse for several agricultural applications.  相似文献   

基于GRACE数据的天山阿克苏河流域水储量变化分析     

王志成  张辉  李万江  邓海军 《沙漠与绿洲气象(新疆气象)》2017,11(6):1-8

水储量变化可视为气候变化对水文系统影响的指示器。基于GRACE数据,结合气候数据和冰川积雪数据,分析了近10 a年来阿克苏河流域的水储量变化。研究结果表明:(1)过去10 a间阿克苏河流域的水储量呈递减趋势,减少速率为-0.12±0.85 cm/a,且春季表现为正距平,而秋季表现为负距平;(2)山区冰川退缩和积雪消融是该流域山区水储量减少的主要原因,近半个世纪以来冰川物质平衡为负平衡,同时近十年来积雪面积递减速率为-24 km~2/a;(3)阿克苏河流域的耕地面积的迅速增加导致了地下水过度超采,是绿洲区水储量减少的主要驱动因子。  相似文献   

Predicting stem borer density in maize using RapidEye data and generalized linear models     

《International Journal of Applied Earth Observation and Geoinformation》2017

Average maize yield in eastern Africa is 2.03 t ha⁻¹ as compared to global average of 6.06 t ha⁻¹ due to biotic and abiotic constraints. Amongst the biotic production constraints in Africa, stem borers are the most injurious. In eastern Africa, maize yield losses due to stem borers are currently estimated between 12% and 21% of the total production. The objective of the present study was to explore the possibility of RapidEye spectral data to assess stem borer larva densities in maize fields in two study sites in Kenya. RapidEye images were acquired for the Bomet (western Kenya) test site on the 9th of December 2014 and on 27th of January 2015, and for Machakos (eastern Kenya) a RapidEye image was acquired on the 3rd of January 2015. Five RapidEye spectral bands as well as 30 spectral vegetation indices (SVIs) were utilized to predict per field maize stem borer larva densities using generalized linear models (GLMs), assuming Poisson (‘Po’) and negative binomial (‘NB’) distributions. Root mean square error (RMSE) and ratio prediction to deviation (RPD) statistics were used to assess the models performance using a leave-one-out cross-validation approach. The Zero-inflated NB (‘ZINB’) models outperformed the ‘NB’ models and stem borer larva densities could only be predicted during the mid growing season in December and early January in both study sites, respectively (RMSE = 0.69–1.06 and RPD = 8.25–19.57). Overall, all models performed similar when all the 30 SVIs (non-nested) and only the significant (nested) SVIs were used. The models developed could improve decision making regarding controlling maize stem borers within integrated pest management (IPM) interventions.  相似文献   

气候变化对东北地区作物生产潜力影响的研究   总被引：13，自引：2，他引：11       下载免费PDF全文

陈峪  黄朝迎 《应用气象学报》1998,9(3):314-320

利用作物生长动态统计方法,计算和分析了5～9月气温和降水变化对东北地区水稻、玉米、大豆3种主要作物生产潜力的影响,建立了各站气温、降水与作物生产潜力的关系式,并用来评估气温和降水变化对当年作物产量的影响,还讨论了未来气候变化对东北地区作物生产潜力的可能影响。  相似文献   

Inter-annual Variability of Moisture Flux from the Prairie Agro-ecosystem: Impact of Crop Phenology on the Seasonal Pattern of Tornado Days   总被引：1，自引：0，他引：1  

R. L. Raddatz  J. D. Cummine 《Boundary-Layer Meteorology》2003,106(2):283-295

This study, through the inclusion of a simpleparameterization of the phenologicaldevelopment of spring wheat in evapotranspirationsimulations for 1988–2000, at a representativearid grassland and a representative transitionalgrassland site, delineated the inter-annualvariability of the seasonal moisture flux from theCanadian Prairie agro-ecosystem. Theagro-ecosystem's contribution to atmospheric boundary-layermoisture, at these representative sites, wasrelated to the seasonal pattern of tornado days in thegrassland eco-climatic zone for the averageyear, for a warmer/drier year and for a cooler/wetteryear. The following conclusions were drawn:(1) The moisture flux from the Prairie agro-ecosystemdisplays considerable inter-annualvariability due, in the main, to the rate andtiming of crop phenological development andassociated biophysical parameters, and (2) themoisture flux from the Prairie agro-ecosystemtranslates directly into changes in atmosphericboundary-layer moisture, which subsequentlyaffects the magnitude of the potential energyavailable for deep convection and the seasonalpattern of tornado days. For expansive agriculturalareas, representing the inter-annual variabilityof crop phenological development in land surfacemodels is critical to the successful simulationof the surface moisture flux, and thus thethermodynamic properties of the atmospheric boundarylayer. Therefore, it is of particularimportance to Prairie climate and climate change modelling.  相似文献   

基于东北玉米区域动力模型的低温冷害预报应用研究   总被引：35，自引：7，他引：35       下载免费PDF全文

刘布春  王石立  庄立伟  卢志光  史学丽  宋永佳 《应用气象学报》2003,14(5):616-625

在田间试验资料基础上，采用改进的发育模型和分区作物参数，结合前人有关研究成果建立了东北玉米区域动力模型，并利用模型模拟了12站40年 (1961~2000年) 玉米生长发育过程。确定抽雄期延迟天数为低温冷害指标，分析了历史低温冷害年及减产情况。模拟了典型冷害年和40年气候平均的0.25°×0.25°网格点玉米生长发育过程, 探讨了与区域气候模式结合进行低温冷害预报的方法。主要结论有:①玉米发育模型能够较好地模拟玉米发育期和发育期对低温冷害的响应，以抽雄期延迟天数为冷害指标评估的历史冷害发生状况基本符合历史实况。②模型有一定的模拟玉米生长量对低温冷害响应的能力，但还需要更多的试验数据校正品种参数，完善模型。③利用GIS技术，结合区域化的作物参数运行区域作物模型，是作物模型区域化应用的一种解决方案。④东北玉米区域动力模型解释性好，根据确定的害指标，以区域气候模式输出结果驱动玉米模型可以模拟和预测低温冷害，是农业气象灾害预测预报的一个有益的尝试。  相似文献   

泥螺消化道内的细菌学分析   总被引：1，自引：0，他引：1  

王国良  陆彤霞  王一农  於宏  金珊 《海洋科学》2002,26(12):65-67

泥螺(Ｂｕｌｌａｃｔａｅｘａｒａｔａ)隶属于软体动物门,腹足纲 ,后鳃亚纲,头盾目 ,阿地螺科。其味道鲜美,具有较高的营养价值和经济价值 ,是浙江沿海重要的滩涂养殖品种,至２０００年全省养殖面积已达约１１３００ｈａ。泥螺的生长是以不断吞食周围滩涂中的涂泥和底栖藻类等为营养基础 ,已知滩涂沉积物及动植物碎屑中所含有的微生物从事着大量的转化和分解工作［４］,它们在泥螺体内又会怎样呢 ?为探索泥螺的消化生理功能及与养殖、病害和防治的关系,本文从泥螺消化道内的细菌菌群组成与功能研究入手作初步分析。关于贝类体内的细菌学调查…  相似文献   

Crop booms at the forest frontier: Triggers,reinforcing dynamics,and the diffusion of knowledge and norms     

《Global Environmental Change》2019

Crop booms in forest frontiers are a major contributor to deforestation and global change. Because of their non-linearity, intensity, and unpredictability, booms are specific instances of land change, namely land system regime shifts, which require an analysis going beyond that of their drivers or individual actors’ decisions. So far, the combined effect of behavioral dynamics at the household, village, and higher levels, which are often mutually-reinforcing, have not been considered in the empirical analysis of crop booms. In this paper, we aim to further the understanding and the theory behind the dynamics of crop booms and land regime shifts. We focus on the smallholder-driven northern Laos rubber boom and analyze two case study areas with different intensity of rubber expansion. We use a combination of household surveys and interviews with villagers, government officials and private sector actors to analyze the preconditions, triggers and reinforcing effects at household and higher levels that help explain the timing and extent of the boom. In particular, we focus on the role of information transmission and imitation in household decisions to adopt and expand rubber. Our findings show that the rapid expansion of rubber in northern Laos was in part the result of household decisions spurred by economic and policy triggers that changed the real and perceived benefits of growing rubber. In addition, there were higher-level and mutually-reinforcing dynamics, such as the conversion of village communal forests, a rush for land, and individual behavior contingent on others’, including imitation. The transmission of information through social networks played a key role in rubber adoption decisions, but the diffusion of new norms and values was also important and may have accelerated adoption decisions. Rubber adoption and expansion decisions thus had normative and informational, as well as knowledge-based and imitation components.  相似文献