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With ever growing population and shrinkage of agricultural land, food security is an extremely important research topic. Besides human activates, natural disasters such as flood, drought also play adverse effect on food productivity. Understanding impact of these disaster on crop yield and making early estimation could help planning for any global food crisis. Among various available crop yield estimation...
Agriculture cropland soil moisture information plays a significant role in the management of agricultural policy, food security, and food prices. For better utilizing and reusing the agricultural information and knowledge, US Departments of Agriculture (USDA) National Agricultural Statistics Service (NASS) monitors US crop soil moisture condition using weekly field observations for counties in 45...
Climate change has become a hot topic in recent years. Flood is one of the most common natural hazards caused from extreme climate change. Scientists have spent a lot of money and time on monitoring flood in past decades. The development of Remote Sensing and Geographic Information System (GIS) brings new ways for scientists to analyze, monitor, and predict floods. Remote Sensing provides an alternative...
The Remote Sensing Flood Crop Loss Assessment (RF-CLASS) is a system of geospatial Web services that provide comprehensive services to decision makers in assessing flood-induced crop loss. It serves a series of vector-based geospatial data. Traditionally, these data are visualized on the Web through a open Web Map Service (WMS) while the geospatial data are kept in either a geo-database or a vector-feature...
Agriculture is one of the most affected sectors by the flood. Spaceborn remote sensing is widely used for flood mapping and monitoring in recent decades. Some applications such as flood crop loss assessment require data with fine temporal resolution to monitor short-lived flood. MODIS is providing remote sensing data with 1–2 days temporal resolution which has frequently been used for flood mapping...
Traditional method of visiting field and surveying farmers to estimate crop yield has been considered inefficient and impractical especially in cases when fields are not easily accessible. Remote sensing techniques, therefore, has been utilize to overcome these obstacles with good success. Normalize Difference Vegetation Index (NDVI) based models are considered to be most effective and utilized technique...
Remotely sensed soil moisture data can provide timely, objective and quantitative crop soil moisture information with broad geospatial coverage and sufficiently high resolution observations collected throughout the growing season. This paper evaluates the feasibility of using the assimilated ESA Soil Moisture Ocean Salinity (SMOS) Mission L-band passive microwave data for operational US cropland soil...
Remote sensing derived NDVI data is fundamental to crop monitoring and crop yield estimation research. The usefulness of NDVI relies on reducing noise caused by varying atmospheric conditions such as cloud, haze, and dust as well as by sensor viewing geometry. Different techniques have been applied for noise reduction of composite NDVI products. However, the noise reduction for daily NDVI remains...
In previous studies, the correlation between the vegetation index and meteorological factors were investigated with in intervals defined by the day-of-year. Compared with the day-of-year, the accumulated growing degree days (AGDD) more effectively reflect vegetation growing stage, which serves as important references in agricultural management and disaster prediction. From this end, it is also worth...
WOFOST (WOrld FOod STudies) is a well-known, widely applied simulation model to analyze quantitatively the growth and production annual field crops that was originally developed for crops in European countries. It is the base model for Monitoring Agricultural ResourceS (MARS) Crop Growth Monitoring System (CGMS) in operational use for yield estimation in European Union. The model is of great potential...
Flood is defined as water that temporarily submerges land. In the United States, flood is being considered as an event only if it last over 72 hours, but the time frame is much longer in the Europe. The information of water bodies is an important source when examining floods. However, this data is not always available or accurate by traditional survey since water surface changes frequently. Remote...
Timely, frequent, crop vegetation condition information, with complete geospatial coverage acquired throughout the growing season is critical for public and private sector decision making that concerns agricultural policy, production, food security, and food prices. The NASA Soil Moisture Active and Passive (SMAP) mission provides such a reliable data source for cropland soil moisture assessment....
Crop growth stages are important factors for segmenting the crop growing seasons and analyzing their growth conditions against normal conditions by periods. Time series of high temporal resolution, up to daily, satellite remotely sensed data are used in establishing crop growth estimation model and estimate the growth stages. The daily surface reflectance data from Moderate Resolution Imaging Spectroradiometer...
Nepal was ranked as one of the most climate vulnerable country in the world and a better understanding of vegetation patterns and their transformations is critically needed for environmental studies. Studies have shown that monitoring land use and land cover changes with conventional ground survey methods are time consuming and labor intensive. Remote sensing and GIS techniques have been widely employed...
Obesity is a continuing challenge for any town, city or country faced with this problem. Being obese increases your risk of physical disorders such as high blood pressure (BP), high blood cholesterol, diabetes, coronary heart disease, stroke, cancer and poor reproductive health. Higher obesity rates also leads to increased economic burden on society. In order to better understand and control obesity...
Precipitation has significant impacts on crop growing, which is indicated by NDVI. NDVI-precipitation correlation accompanied with different NDVI temporal responses to precipitation have been widely investigated. However, various factors (e.g. crop type, soil profile) contribute to variances of NDVI-precipitation correlation. Few studies have quantitatively studied NDVI-precipitation correlation from...
Understanding the event of flood and its impacts, especially towards agriculture, is an extremely significant component; however is exceedingly complicated process at the same time. That said research on identifying flood and its damages in the agricultural sector is not getting as much of attention as it should be. Flood damages on agricultural are directly depends on the impact it exert on the crops...
Detecting water bodies and accurately delineating it from the surrounding is an important aspect for various hydrological and agricultural scientific applications. The traditional methods of visiting the actual site and using survey techniques are time consuming and difficult to implement. Remotely sensed data, Landsat in particular, provides a functional means to delineate water boundaries over a...
Vegetation condition assessment is very useful and helpful for researchers and decision makers to evaluate crop loss and value, and identify and manage risks in the flood hazard areas. Crop responses to flooding vary with crop types, crop growing stages, soil characteristics, weather condition, flood duration and depth, etc. How to measure and understand crop response is a challenging and important...
Flooding introduces significant changes to crop condition profiles that can be derived from remote sensing. These changes correlate to crop damage caused by flood events. Crop condition profiles can be directly or indirectly constructed using different vegetation indices if specific crop are pre-determined. Crop condition profiles may be resulted from different vegetation indices. This study compares...
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