標(biāo)題: Titlebook: Remote Sensing Time Series; Revealing Land Surfa Claudia Kuenzer,Stefan Dech,Wolfgang Wagner Book 2015 Springer International Publishing Sw [打印本頁(yè)] 作者: OBESE 時(shí)間: 2025-3-21 19:37
書目名稱Remote Sensing Time Series影響因子(影響力)
書目名稱Remote Sensing Time Series影響因子(影響力)學(xué)科排名
書目名稱Remote Sensing Time Series網(wǎng)絡(luò)公開(kāi)度
書目名稱Remote Sensing Time Series網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Remote Sensing Time Series被引頻次
書目名稱Remote Sensing Time Series被引頻次學(xué)科排名
書目名稱Remote Sensing Time Series年度引用
書目名稱Remote Sensing Time Series年度引用學(xué)科排名
書目名稱Remote Sensing Time Series讀者反饋
書目名稱Remote Sensing Time Series讀者反饋學(xué)科排名
作者: 補(bǔ)角 時(shí)間: 2025-3-21 21:09 作者: cocoon 時(shí)間: 2025-3-22 00:28 作者: entice 時(shí)間: 2025-3-22 04:33
,Analysis of Snow Cover Time Series – Opportunities and Techniques,nsing has been used since the early 1970s to map terrestrial snow cover (Brown, J Clim 13:2339–2355, 2000) and both – sensors as well as retrieval algorithms – have undergone a substantial development since that time. This chapter will give a short introduction on how snow cover can be monitored fro作者: 小丑 時(shí)間: 2025-3-22 10:11 作者: Dysplasia 時(shí)間: 2025-3-22 12:55 作者: 高談闊論 時(shí)間: 2025-3-22 19:58
TIMESAT: A Software Package for Time-Series Processing and Assessment of Vegetation Dynamics, biased noise, and can take missing data and quality flags into account. The software enables the extraction of seasonality parameters, like the beginning and end of the growing season, its length, integrated values, etc. TIMESAT has been used in a large number of applied studies for phenology param作者: Common-Migraine 時(shí)間: 2025-3-22 23:14
Land Surface Phenology in a West African Savanna: Impact of Land Use, Land Cover and Fire,ultural land use and fires, in addition to climatic variability. This study analyses the spatio-temporal patterns of land surface phenology in a Sudanian Savanna landscape of southern Burkina Faso based on time series of the Moderate Resolution Spectroradiometer (MODIS), and on multi-temporal Landsa作者: RAGE 時(shí)間: 2025-3-23 03:13 作者: 修改 時(shí)間: 2025-3-23 07:25 作者: 咯咯笑 時(shí)間: 2025-3-23 10:53 作者: 畢業(yè)典禮 時(shí)間: 2025-3-23 16:35
Radar Time Series for Land Cover and Forest Mapping,tive pre-operational applications, several with promising discoveries that can now be realized with a new and expanding fleet of radar satellites. Four case studies for land cover, forest mapping, forest cover change and savannah monitoring conclude this chapter.作者: 使出神 時(shí)間: 2025-3-23 21:07 作者: 啟發(fā) 時(shí)間: 2025-3-23 22:45
Land Surface Phenology Monitoring with SeaWinds Scatterometer Time Series in Eastern Asia,ies is caused by snow coverage and limited vegetation activity in arid areas. For tropical and semi-arid areas where optical observation is unavailable, backscatter data can provide valid phenological information. Due to their sensitivity to different factors, temporal discrepancies were observed be作者: lavish 時(shí)間: 2025-3-24 04:55 作者: hypnogram 時(shí)間: 2025-3-24 08:59
Book 2015wn sensors such as AVHRR, MODIS, Landsat, ENVISAT, ERS and METOP amongst others. Selected review and methods chapters provide a good overview over time series processing and the recent advances in the optical and radar domain. A fine selection of application chapters addresses multi-class land cover作者: habile 時(shí)間: 2025-3-24 13:53
Ursula Gessner,Kim Knauer,Claudia Kuenzer,Stefan Dechich der sogenannten ?Frühen Hilfen“ im deutschsprachigen Raum eine gro?e Rolle spielen..Geschrieben für Kinder- und Erwachsenen-Psychotherapeuten, Psychiater, Kinder?rzte, Sozialp?dagogen (z. B. in der Jugendhi978-3-642-39602-1作者: Mystic 時(shí)間: 2025-3-24 15:27
Thomas Udelhoven,Marion Stellmes,Achim R?derich der sogenannten ?Frühen Hilfen“ im deutschsprachigen Raum eine gro?e Rolle spielen..Geschrieben für Kinder- und Erwachsenen-Psychotherapeuten, Psychiater, Kinder?rzte, Sozialp?dagogen (z. B. in der Jugendhi978-3-642-39602-1作者: DAMN 時(shí)間: 2025-3-24 21:39 作者: acetylcholine 時(shí)間: 2025-3-25 01:28
ta was generated by high-throughput experimental methods. However, voluminous unexplored proteins, creating the computational analysis of the PPI network a mandatory tool. Moreover, each method carries its advantages and disadvantages to reproduce a true PPI model that precisely set up under physiol作者: STENT 時(shí)間: 2025-3-25 06:36 作者: Physiatrist 時(shí)間: 2025-3-25 11:11 作者: 壟斷 時(shí)間: 2025-3-25 14:33
Lars Eklundh,Per J?nssonSchluss werden auch pr?ventive Konzepte dargestellt, die im immer wichtiger werdenden Bereich der sogenannten ?Frühen Hilfen“ im deutschsprachigen Raum eine gro?e Rolle spielen..Geschrieben für Kinder- und Erwachsenen-Psychotherapeuten, Psychiater, Kinder?rzte, Sozialp?dagogen (z. B. in der Jugendhi作者: 閑聊 時(shí)間: 2025-3-25 18:40 作者: 慌張 時(shí)間: 2025-3-25 21:51 作者: 闡明 時(shí)間: 2025-3-26 01:18 作者: 信徒 時(shí)間: 2025-3-26 06:36 作者: capillaries 時(shí)間: 2025-3-26 11:54 作者: PIZZA 時(shí)間: 2025-3-26 14:06 作者: 杠桿支點(diǎn) 時(shí)間: 2025-3-26 18:41 作者: caldron 時(shí)間: 2025-3-26 21:02
Igor Klein,Andreas J. Dietz,Ursula Gessner,Claudia Kuenzer作者: 抑制 時(shí)間: 2025-3-27 03:16 作者: Peak-Bone-Mass 時(shí)間: 2025-3-27 05:21 作者: 貪心 時(shí)間: 2025-3-27 10:16 作者: 經(jīng)典 時(shí)間: 2025-3-27 16:44 作者: synchronous 時(shí)間: 2025-3-27 19:32
Calibration and Pre-processing of a Multi-decadal AVHRR Time Series,ery High Resolution Radiometer (AVHRR) data from the Polar Orbiting Environmental Satellites (POES) of the National Oceanic and Atmospheric Administration (NOAA). By December 2013, over 237,000 paths over Europe have since been archived at DLR. Based on these High Resolution Picture Transmission (HR作者: overrule 時(shí)間: 2025-3-27 22:36
,Analysis of Snow Cover Time Series – Opportunities and Techniques,m and hydrological circle. While the spatial extent can be limited to narrow mountain ridges during summer, the snow cover percentage on the Northern Hemisphere may exceed 50?% (Lemke et al., Observations: changes in snow, ice and frozen ground. In: Solomon S, Qin D, Manning M, Chen Z, Marquis MC, A作者: stress-test 時(shí)間: 2025-3-28 05:11 作者: fiction 時(shí)間: 2025-3-28 08:38
Analysing a 13 Years MODIS Land Surface Temperature Time Series in the Mekong Basin,hoods. Knowledge of LST dynamics can furthermore be used as an indicator for climate variability and change. LST is regularly measured from satellite sensors on a broad spatial scale and with a high temporal resolution. In this research, MODIS (Moderate Resolution Imaging Spectroradiometer) sensor d作者: Anthropoid 時(shí)間: 2025-3-28 13:18 作者: 才能 時(shí)間: 2025-3-28 17:32
Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data,iew of suitable long-term Earth Observation (EO) based datasets for assessment of global dryland vegetation trends is provided and a status map of contemporary greening and browning trends for global drylands is presented. The vegetation metrics suitable for per-pixel temporal trend analysis is disc作者: 托運(yùn) 時(shí)間: 2025-3-28 21:36 作者: 我沒(méi)有強(qiáng)迫 時(shí)間: 2025-3-28 23:27 作者: 組成 時(shí)間: 2025-3-29 05:07
Assessing Rainfall-EVI Relationships in the Okavango Catchment Employing MODIS Time Series Data ando current and previous “effective” rainfall events. In this study a distributed lag model (DLM) was used to assess the impact of current and previous 16?day rainfall anomalies on the Enhanced Vegetation Index (EVI) as a proxy for ANPP in the Okavango catchment (South Africa). The two important aspec作者: Intractable 時(shí)間: 2025-3-29 11:19 作者: 不自然 時(shí)間: 2025-3-29 12:59
Investigating Fourteen Years of Net Primary Productivity Based on Remote Sensing Data for China,yses of NPP time-series allow for understanding temporal patterns and changes in vegetation productivity. These are especially important in rapidly changing environments, such as China, the world’s third largest country. In this study, we use the model BETHY/DLR (Biosphere Energy Transfer Hydrology 作者: 窗簾等 時(shí)間: 2025-3-29 17:10 作者: figure 時(shí)間: 2025-3-29 21:59 作者: Lipoprotein 時(shí)間: 2025-3-30 01:15 作者: convert 時(shí)間: 2025-3-30 05:56
Investigating Radar Time Series for Hydrological Characterisation in the Lower Mekong Basin,ter on the radar signal. The proper monitoring and analysis of such temporally dynamic phenomena requires dense time series data. Radar time series data is also useful for mitigating uncertainties in individual images, e.g. for the mapping of permanent water bodies. This chapter reviews capabilities作者: mosque 時(shí)間: 2025-3-30 10:56 作者: 偶像 時(shí)間: 2025-3-30 15:12
Monitoring Recent Urban Expansion and Urban Subsidence of Beijing Using ENVISAT/ASAR Time Series Danformation about the spatial and temporal dynamics of the characteristics of urban areas is therefore needed to support sustainable urban development. Time series earth observation data obtained using radar satellites have provided effective data sources for monitoring urban areas. This chapter firs作者: 摘要 時(shí)間: 2025-3-30 18:53 作者: 背心 時(shí)間: 2025-3-30 21:54 作者: FATAL 時(shí)間: 2025-3-31 01:55
Assessing Drivers of Vegetation Changes in Drylands from Time Series of Earth Observation Data,ethodological challenges related to the use of these. Finally, teleconnections between global sea surface temperature (SST) anomalies and dryland vegetation productivity are illustrated and the associated predictive capabilities are discussed.作者: 四海為家的人 時(shí)間: 2025-3-31 05:45
,Land Degradation in South Africa – A Degradation Index Derived from 10 Years of Net Primary Product(Leaf area index) and ECMWF meteorology time-series for the period of 1999–2010. The trend-analysis of model output and climatic input results in a new land degradation index (LDI) that distinguishes between climatic and human-induced reduction of vegetative productivity.作者: 發(fā)芽 時(shí)間: 2025-3-31 10:07 作者: 衍生 時(shí)間: 2025-3-31 16:28
The Utility of Landsat Data for Global Long Term Terrestrial Monitoring,Specifically, it introduces the NASA (National Aeronautics and Space Administration) funded global Web Enabled Landsat Data products, and overviews Landsat time series phenology and land cover change monitoring applications and research, and prospectives for Landsat time series monitoring.作者: coagulation 時(shí)間: 2025-3-31 18:24
978-3-319-35243-5Springer International Publishing Switzerland 2015作者: 現(xiàn)代 時(shí)間: 2025-4-1 00:33
Remote Sensing Time Series978-3-319-15967-6Series ISSN 1567-3200 Series E-ISSN 2215-1842 作者: 遷移 時(shí)間: 2025-4-1 05:16
Claudia Kuenzer,Stefan Dech,Wolfgang WagnerProvides a comprehensive overview of remote sensing time series analyses, which enable to reveal past and current land surface dynamics.Treats both, the theory and application of time series analyses,作者: 迎合 時(shí)間: 2025-4-1 07:14
Remote Sensing and Digital Image Processinghttp://image.papertrans.cn/r/image/826901.jpg
