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A multispectral imaging system is presented, using components that will support its deployment within the world of small-holder agriculture. An active narrowband illumination setup was selected, which allowed a low-cost broadband image sensor to be used. The preliminary set-up has been demonstrated with droughted tomato plants as a proof of concept. The results demonstrated a 5, 28 and 90% deterioration...
Automatic detection of physiological changes in leaves using close range hyperspectral data is becoming a new tool for biologists. Given the geometry of leaves, the reliability of spectral data strongly depends on a careful spectral and geometric calibrations. In this paper, we evaluate the effect of several calibration approaches on automatic classification of leave regions. For our experiments we...
Various indices are used for assessing vegetation and soil properties in satellite remote sensing applications. Some indices, such as NDVI and NDWI, are defined based on the sensitivity and significance of specific bands. Nowadays, remote sensing capability with a good number of bands and high spatial resolution is available. Instead of classification based on indices, this paper explores direct classification...
Plant health is an essential factor to reduce the number of import in a country. In this research, we use paddy as an example to understand plant health. Our research is motivated by our belief that technology might aid in reducing chances of failed paddy harvest in Indonesia. To understand the plant health of paddy, we designed unmanned aerial vehicle (UAV) integrated pocket cameras to record near...
Soil moisture is an important indicator that defines the land surface-atmosphere interactions by contributing precisely to the surface energy and water balance. In this study, we examine the utility of the Neural Network (NN) model using Discrete Wavelet Transform (DWT) as preprocessing mechanism for soil moisture estimation. The decomposed wavelet sub-time series data was used as input to the 3-layered...
Temperature vegetation dryness index (TVDI) is widely used for its physical significance. In this study, using the historical MODIS data, we consider Henan Province, a large grain province in Central China, an example for constructing feature space and calculating TVDI. Multi- and single-group image approaches are then compared, and the applicability of the TVDI in Henan Province is analyzed through...
Early information on crops spatial extent is useful from food security standpoint. Growing number of remote sensing satellites are making it easier to map the crop areas in a rapid and cost-effective way. Grape being an commercial fruit crop of India, it is useful to map the grape areas for acreage estimation and monitor its health continuously to get optimum yield. The main contribution of this paper...
Two GF-1 WFV images on August 3, 2015 and October 2, 2015 were selected to extract the cultivated area of paddy rice in Jianhu county of Jiangsu Province. Vegetation indexes were extracted from the original spectrum data in order to extract paddy rice area with Maximum Likelihood Classifier (MLC), Support Vector Machine (SVM) and Classification and Regression Trees (CART). The extraction accuracy...
Agricultural land use is essential for prosperity and sustainability of a city. However, the performance of detecting agricultural land use based on vegetation parameters will be substantially reduced when the vegetation changed in type, quantity and condition. This study believed that soil moisture, a fundamental soil parameter, is able to detect agricultural land use. A method was proposed to evaluate...
Leaf area index (LAI) is an important parameter in the research of green vegetation ecosystem. Traditional methods for inversion of leaf area index based on hyperspectral image mainly use the reflectance of a band or an index generated by the combination of several bands, whose inversion accuracy is generally limited. In this paper, the BP (back-propagation) neural network is constructed to invert...
Establishment of protected areas is one of the most important approaches for biodiversity conservation. Up to 2015, China has established 2740 sites for nature reserves with a total area of 1470300 km2, covering 14.8% of Chinese land surface. Based on remote sensing inversion, model simulation and spatial analysis methods, we analyzed spatial and temporal variations of habitat from the vegetation...
An application of the Soil Moisture Agricultural Drought Index (SMADI) for global agricultural drought monitoring is presented. The index integrates surface soil moisture from the Soil Moisture and Ocean Salinity (SMOS) mission with the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) and allows for global drought...
An improved method for measuring and potentially monitoring surface particle size using satellite multispectral VNIR-SWIR-TIR ASTER TIR imagery was successfully tested for the Mu Us Desert to Loess Plateau region of China. The remote sensing results were validated against field sample data and published work. This work has implications for establishing a new mineral-based Earth Observation indicator...
An effective monitoring and analysis of ecosystems requires developing new tools and knowledge. In this paper, we propose an approach for detecting land-cover changes using satellite Image Time Series. This approach represents each image by spectral indices and then extracts local features of these representations. Next, a clustering technique (e.g., k-means) is applied to the extracted features,...
Thermal-infrared remote sensing of land surface temperature (LST) provides valuable information for quantifying root-zone water availability, evapotranspiration (ET) and crop condition. This paper describes the most recent modifications applied to the robust but relatively simple LST-based energy balance model, the Two-Source Energy Balance (TSEB), which solves for the soil/substrate and canopy temperatures...
Recently, Unmanned Aerial Vehicle (UAV) has been applied into the precision agriculture [1, 2]. Comparing to satellite-based remote sensing, low-altitude UAV could collect data in cloudy weather with much higher spatial resolution. Thus, in addition to spectral information, UAV images provide more detailed shape and texture information about land use and cover.
This study focuses for the first time on the water stress detection and discrimination among different stages of red palm weevil (RPW) stress-attacks using water stress indices (WSI) and linear and second order polynomial statistical analysis. Different WSI were assessed using new technology Worldview-3 (WV-3) simulated data. Based on field identification, five palm tree classes were considered: dead,...
In this study, a data-fusion algorithm is developed for estimation of high-resolution brightness temperatures (TB) at 1km from Soil Moisture Active Passive (SMAP) fine-grid TB product at 9km. It uses image segmentation to spatio-temporally cluster the study region based on meteorological and land cover similarity, followed by a support vector machine based regression that computes the value of the...
Heavy metal stress will damage the normal growth and change the bio-parameters like chlorophyll, nitrogen and water content of rice. Simple, speedy, non-invasive test of heavy metal stress to crops means a lot to the agriculture and even the suspend of human being. Many traditional spectral index computed using hyperspectral data can inverse the above bio-parameters. While it is found that some indies...
China's Grain for Green Programme (GGP) is the largest ecological restoration programme ever implemented in a developing country, but the ecological effectiveness in its whole implementation region still remain uncertain. Based on the trend analysis of dynamics in ecosystem structure and service, we assessed the ecological effects before and after the implementation of the GGP in 1990–2010 by developing...
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