Automatic searching of control point in NOAA AVHRR image

This paper discusses the approaches for automatical searching of control points in the NOAA AVHRR image on the basis of data rearrangement in the form of latitude and longitude grid. The vegetation index transformation and multi-level matching strategies have been proven effective and successful as the experiments show while the control point database is established.     

Using Maximum Likelihood (ML) and Maximum A Prior Probability (MAP) in Iterative Self‐Organizing Data (ISODATA)

Abstract

With the availability of high‐resolution satellite imagery featuring as high as 1 meter resolution in the panchromatic mode and 3‐meter resolution in the multispectral mode, there is an interest by many new commercial and public service applications such as cellular telephones coverage area design, urban/land cover planning, and real estate marketing to extract features from images automatically. To that end, the demand for unsupervised classification techniques is growing. In this paper, the Maximum Likelihood (ML) and Maximum A prior Probability (MAP) algorithms are used as decision rules to find boundaries of classes computed by the Iterative Self‐Organizing Data (ISOADATA) algorithm. Different satellite images with different resolutions were used to experiment with these algorithms. The results of comparing and analyzing the algorithms revealed that MAP‐ISODATA performed better than ML‐ISODATA even when the same initial matrix was used. It was shown that there was no significant difference between ML‐ISODATA and MAP‐ISODATA in terms of accuracy. It was also realized that better results could be obtained if homogenous initialization strategies were used.     

Observations of Mt. Etna volcanic ash plumes in 2006: An integrated approach from ground-based and polar satellite NOAA–AVHRR monitoring system

Mt. Etna, in Sicily (Italy), is one of the world's most frequent emitters of volcanic plumes. During the last ten years, Etna has produced copious tephra emission and fallout that have damaged the inhabited and cultivated areas on its slopes and created serious hazards to air traffic. Recurrent closures of the Catania International airport have often been necessary, causing great losses to the local economy. Recently, frequent episodes of ash emission, lasting from a few hours to days, occurred from July to December 2006, necessitating a look at additional monitoring techniques, such as remote sensing. The combination of a ground monitoring system with polar satellite data represents a novel approach to monitor Etna's eruptive activity, and makes Etna one of the few volcanoes for which this surveillance combination is routinely available.In this work, ash emission information derived from an integrated approach, based on comparing ground and NOAA–AVHRR polar satellite observations, is presented. This approach permits us to define the utility of real time satellite monitoring systems for both sporadic and continuous ash emissions. Using field data (visible observations, collection of tephra samples and accounts by local inhabitants), the duration and intensity of most of the tephra fallout events were evaluated in detail and, in some cases, the order of magnitude of the erupted volume was estimated. The ground data vs. satellite data comparison allowed us to define five different categories of Etna volcanic plumes according to their dimensions and plume height, taking into account wind intensity. Using frequent and good quality satellite data in real time, this classification scheme could prove helpful for investigations into a possible correlation between eruptive intensity and the presence and concentration of ash in the volcanic plume. The development and improvement of this approach may constitute a powerful warning system for Civil Protection, thus preventing unnecessary airport closures.     

Numerical study on the summer upwelling system in the northern continental shelf of the South China Sea

A three-dimensional baroclinic nonlinear numerical model is employed to investigate the summer upwelling in the northern continental shelf of the South China Sea (NCSCS) and the mechanisms of the local winds inducing the coastal upwelling, associated with the QuikSCAT wind data. First, the persistent signals of the summer upwelling are illustrated by the climatological the Advanced Very High-Resolution Radiometer (AVHRR) Sea Surface Temperature (SST) image over 1985–2006 and field observations in 2006 summer. Then, after the successful simulation of the summer upwelling in the NCSCS, four numerical experiments are conducted to explore the different effects of local winds, including the wind stress and wind stress curl, on the coastal upwelling in two typical strong summer upwelling regions of the NCSCS. The modeled results indicate that the summer upwelling is a seasonal common phenomenon during June–September in the NCSCS with the spatial extent of a basin-scale. Typical continental shelf upwelling characteristics are clearly shown in the coastal surface and subsurface water, such as low temperature, high salinity and high potential density in the east of the Hainan Island, the east of the Leizhou Peninsula and the southeast of the Zhanjiang Bay (noted as the Qiongdong-QD), and the inshore areas from the Shantou Coast to the Nanri Islands of the Fujian Coast (noted as the Yuedong-YD). The analysis of the QuikSCAT wind data and modeled upwelling index suggests that the local winds play significant roles in causing the coastal upwelling, but the alongshore wind stress and wind stress curl have different contributions to the upwelling in the Qiongdong (QDU) and the coastal upwelling in the Yuedong (YDU), respectively. Furthermore, model results from the numerical experiments show that in the YD the stable alongshore wind stress is a very important dynamic factor to induce the coastal upwelling but the wind stress curl has little contribution and even unfavorable to the YDU. However, in the QD the coastal upwelling is strongly linked to the local wind stress curl. It is also found that not only the offshore Ekman transport driven by the alongshore wind stress, the wind stress curl-induced Ekman pumping also plays a crucial effect on the QDU. Generally, the wind stress curl even has more contributions to the QDU than the alongshore wind stress.     

Modelling for prediction of global deforestation based on the growth of human population

Deforestation due to ever-increasing activities of the growing human population has been an issue of major concern for the global environment. It has been especially serious in the last several decades in the developing countries. A population-deforestation model has been developed by the authors to relate the population density with the cumulative forest loss, which is defined and computed as the total forest loss until 1990 since prior to human civilisation. NOAA-AVHRR-based land cover map and the FAO forest statistics have been used for 1990 land cover. A simulated land cover map, based on climatic data, is used for computing the natural land cover before the human impacts. With the 1990 land cover map as base and using the projected population growth, predictions are then made for deforestation until 2025 and 2050 in both spatial and statistical forms.     

基于AVHRR和VIRR数据的改进型Becker“分裂窗”地表温度反演算法

为了将基于NOAA-9/AVHRR数据提出的Becker和Li的“分裂窗”地表温度算法成功地应用于长序列NOAA/AVHRR和FY 3A/VIRR数据的地表温度反演,为气候变化研究提供长序列、高精度、高分辨率的地表温度数据集,从辐射传输方程出发,首先利用MODTRA 4.1模式模拟了多种地表和大气状态下的光谱辐亮度数据,并结合AVHRR和VIRR通道4、5的光谱响应函数建立了温度数据集(TS,T4,T5);然后,基于该数据集采用最小二乘法重新计算了Becker和Li算法中的各参数,提出了一个适用于NOAA/AVHRR和FY-3A/VIRR数据的改进型Becker和Li分裂窗地表温度反演算法;并利用改进型算法对2008年4月27日03时12分(世界时)观测的一景覆盖北京地区的NOAA-17/AVHRR数据进行了地表温度的反演,将反演结果与日本东京大学提供的同地区、同时相的MODIS地表温度产品进行了对比分析.结果表明,两种地表温度产品的相关系数为0.88,均方根偏差(RMSD)为2.1K;在两种地表温度差值图像的频率直方图上有69.6％的像元的值在±2K之内,37％的像元的值在±1K之内.     

Long term AVHRR observations of surface radiative flux from El Chichón crater lake (1996–2006)

It has been shown that due to the small surface of crater lakes, temperature surveillance is a problem using meteorological satellites. This is particularly true for El Chichón surface lake because it's about one tenth of an AVHRR pixel at nadir. In order to guarantee at least one unmixed pixel in AVHRR data, it is necessary to use only AVHRR data from NOAA satellite passes as close as possible to the nadir for the period 1996–2006, therefore AVHRR data of El Chichón's crater lake were only used it they were cloudless and had scan angles close to nadir. The analysis of the time series data shows that lake surface temperature had annual maximum values (> 35 °C) during 1996 and 1997 then surface temperature decay with a negative exponential trend reaching a steady state of about 30 °C in the last years (2004–2006). A seasonal temperature variation between the dry (December to May) and the wet (June to November) seasons is also observed. Differences between nocturnal and midday temperatures indicate the influence of lake energy emission (including reflectance) at midday under a strong short-wave solar radiation. Water surface radiative flux under these conditions reaches an average of 77.8 W m^− 2 and a maximum of 187.1 W m^− 2. Whereas nocturnal heat output from El Chichón crater lake has an average surface radiative flux of 20.4 W m^− 2 and a maximum of 74.3 W m^− 2.     

多源信息复合NOAA影像在大尺度景观制图中的应用——以中国东北区为例

以中国东北区为例,基于GIS和RS技术,探讨应用NOAA/AVHRR数据编制景观类型图过程中如何提高制图精度。采用多源信息复合NOAA/AVHRR影像分类方法,复合影像分为:1)数字地学综合影像,由年均降水、≥10℃活动积温和数字高程模型(DEM)叠加而成,主要考虑了植被受气候以及地形的影响;2)NOAA/AVHRR四季累加影像的第一主成分影像,在一定程度上去除了多波段NOAA数据冗余;3)NOAA/AVHRR四季NDVI累加值影像,突出了植被信息。将研究区景观(土地)类型进行二级划分,其中一级划分为6大类,二级划分为16类,结果与研究区实际情况基本相符,分类精度达70%。     

利用NOAA/AVHRR资料监测南方林区森林火灾的研究

本文论述了南方林区森林火灾时间分布集中、发生率高、面积小,并以地表火为主的特征;总结了气象卫星资料的林火信息特征和非林火干扰信息规律;研究了建造林火监测专家系统的理论方法,进而提出了林火宏观实时监测系统的总体设计,并建立了以计算机图像处理为基础的、以林火背景数据库支持的、以专家系统为核心的林火监测系统。并利用南方林火模拟实验和历史林火资料对该监测系统进行了改进。最后讨论了林火监测系统改进方向和研究体会。     

应用NOAA/AVHRR资料监测水稻长势的研究

该文利用1992～1996年NOAA/AVHRR资料,结合实测的地面农作物生长发育农学参数,系统地分析了沈阳市水稻移栽至收获整个本田期间遥感归一化植被指数（NDVI）的变化规律,进而达到对沈阳市水稻长势遥感动态监测的目的。