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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...
Estimating surface évapotranspiration (ET) is extremely important for managing water resources in arid region. Though a number of surface energy balance (SEB) models have been proposed for estimating ET from remote sensed data, there is still no clear guidance on which models are suitable for a specific arid region. In this study, a one-source SEB model named Mapping evapotranspiration at high Resolution...
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...
Geospatial web service of agricultural information has a wide variety of consumers. An operational agricultural service will receive considerable requests and process a huge amount of datasets each day. To ensure the service quality, many strategies have to be taken during developing and deploying agricultural information services. This paper presents a set of methods to build robust geospatial web...
Public safety has been discussed for many years, but how to use and understand crime data is still difficult. Limitations of previous research were mainly restricted by technology. The significant technological advance since last century provided a tool for researchers to compute large amount of data and complicate models while shrinking process time too. This research tried to combine results from...
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...
Agricultural drought greatly impacts the crop yield. Monitoring agricultural drought can deliver critical information to farmers on when, where and how much to irrigate. However, precisely monitoring which requires many kinds of data sources and data fusion and mining is still a huge challenge for scientists. In recent years, many data sources like remote sensed hyperspectral images are released online...
Statistics show the volume of Earth Observation (EO) data increases in the exponential level during the past decade. As the new generation computing platform to meet the big data challenge, cloud computing significantly facilitates the large-scale EO data processing depending on its powerful computing capability. In this paper, we propose a Cloud WPS architecture integrating the cloud computing environment...
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...
Timely, frequent, and complete cropland soil moisture information, acquired throughout the growing season is critical for agricultural policy, production, food security, and food prices. The NASA Soil Moisture Active and Passive (SMAP) mission provides a reliable data source for cropland soil moisture assessment. This paper presents a case study of using SMAP soil moisture data products for agriculture...
Forest, one of the most important natural resources, has been degraded in both quantity and quality due to the insensive human activities. This research identified the relationship between spatial pattern of forest and socioeconomic drivers in southern New Hampshire. The results indicated that house density was the most important factor in contributing to the forest fragmentation. The area-related...
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...
The Pub/Sub, short for Publish-Subscribe, is a flexible mechanism perferred by many users who'd like to passively know the changes of situation. Once a new message is published by a provider, all the subscribers to the specific kind of messages will receive the message and make corresponding responses. In agricultural crop monitoring, such mechanism is very helpful in enhancing the efficiency of message...
Lyme disease is a tick-borne zoonosis caused by the spirochete bacterium which is usually transmitted through the bite of infected ticks. Lyme disease in humans has become the most prevalent vector borne disease in the U.S. where more than 25,000 new cases are reported yearly. It is important to expose the distribution variation pattern and developing trend of the disease in the area for prediction...
Land cover change is a significant branch in global change researches and provides essential supporting materials for further studies on biogeochemical cycle, biodiversity, hydrology and climate changes. Based on the NLCD (National Land Cover Database), this study aims to measure the differences and spatiotemporal characteristics of land cover change from 2001 to 2011 by quantitative analysis. We...
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...
The timely retrieval of remote sensing imagery by farmers and decision makers is very important for current agricultural activities. Through the various kinds of imageries of agricultural fields, people can conclude the status of the fields and figure out what kind of crops are suitable and how to cultivate and irrigate the fields. This paper demonstrates how to take advantage of open web service...
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...
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