The global availability of high spatial resolution images makes mapping tree species distribution possible for better management forest resources. Previous research mainly focused on single species, but information about the all kinds trees, especially plantations, is often required. This aims to identify suitable variables and algorithms classifying land cover, forest, species. Bi-temporal ZiYuan-3 multispectral stereo were used. Spectral responses textures from imagery, canopy height...

Abstract Latent heat flux (LE) is a measure of the water exchange between Earth's surface and atmosphere, also known as evapotranspiration. It fundamental component in energy budget hydrological cycle plays an important role regulating weather climate. Moderate Resolution Imaging Spectroradiometer (MODIS) offers gap‐filled biophysical product for LE at 8‐day temporal 500‐meter spatial resolutions. Nonetheless, validation against situ eddy covariance measurement reveals significant errors...

Accurate yield estimation and appropriate planting management policies for rubber plantations require their precise information on spatiotemporal change data. Previous studies mapping of did not employ the dynamic phenology features had difficulty in obtaining historical samples. Here we attempted to develop a new framework through taking sample migration, phenology, detection variables into classification procedure. An automatic migration algorithm was first proposed generate Then, two...

Nocturnal water consumption (NWC), known as including stem refilling (SR) and nocturnal transpiration (NT), has been documented in many plant species, but we do not yet have a clear understanding of species differences the biotic abiotic regulation this phenomenon, especially for subtropical tropical plantations. In study, examine magnitude, seasonality, NWC, SR, NT three widely planted Eucalyptus spp., Hevea brasiliensis, Castanopsis hystrix, through measured sap meteorological variables....

Many studies have investigated the effects of spectral and spatial features remotely sensed data topographic characteristics on land-cover forest classification results, but they are mainly based individual sensor data. How these from different kinds with various resolutions influence results is unclear. We conducted a comprehensively comparative analysis ZiYuan-3 (ZY-3), Sentinel-2, Landsat their fused datasets resolution ranges 2 m, 6 10 15 to 30 factors in influencing subtropical...

Forest canopy height is one of the important forest parameters for accurately assessing biomass or carbon sequestration. ICESat-2 ATLAS provides potential retrieval at global regional scale, but current product (ATL08) has coarse resolution and high uncertainty compared to airborne LiDAR-derived (hereafter ALCH) in mountainous regions, not ready such applications as modeling finer scale. The objective this research was explore approach retrieve from data by incorporating an airborne-derived...

In recent years, the evolving of IoT (Internet Things) has resulted in deployment massive numbers sensors various fields, such as Energy and Utility (E&U) industry. These are continuously producing a huge amount time series data, which creates correspondingly demand for data analysis, pattern searching. However, analysis on is currently implemented custom applications, strategy that suffers from low efficiency high maintenance costs. Hence there need to provide service reduces costs enhances...

Mapping the land-cover distribution in arid and semiarid urban landscapes using medium spatial resolution imagery is especially difficult due to mixed-pixel problem remotely sensed data confusion of spectral signatures among bare soils, sparse density shrub lands, impervious surface areas (ISAs hereafter). This article explores a hybrid method consisting linear mixture analysis (LSMA), decision tree classifier, cluster for mapping two landscapes: Urumqi, China, Phoenix, USA. The Landsat...

In the past several decades, drought events have occurred frequently around world. However, research on propagation of has not been adequately explored. This study investigated process from meteorological to agricultural (PMAD) and hydrological (PMHD) using a 72-year reanalysis dataset in tropical Lancang–Mekong River Basin. Firstly, we used new method—Standardized Drought Analysis Toolbox—to construct indices. Then, linear method (Pearson correlation analysis) nonlinear (mutual information)...

In the Internet of Things (IoT) era, with ubiquitous remote sensing devices and other diverse data sources, nearly everything can forward voluminous continuously, in real-time, which drives demand to perform real-time analytics on uninterrupted IoT flows. The typical resultant approach is a cloud-centered architecture providing an analytic service for processing. However, cannot guarantee responsiveness has high-fee pay-as-you-go business model, opens privacy concerns. Hence, it becomes...

Pixel-based approaches are commonly used for urban land-cover classification and change detection, but the results often inaccurate in arid semiarid landscapes due to mixed-pixel problem similar spectral signatures between impervious surface areas (ISAs) bare soils. This research proposes a subpixel-based approach examine Urumqi Phoenix using multitemporal Landsat Thematic Mapper (TM) imagery. Linear mixture analysis (SMA) was unmix TM multispectral imagery into four fractions – high-albedo...

Oilseed rape (Brassica napus L.) is one of the three most important oil crops in China, and regarded as a drought-tolerant oilseed crop. However, it commonly sensitive to waterlogging, which usually refers an adverse environment that limits crop development. Moreover, growth soil irrigation can be monitored at regional level using remote sensing data. High spatial resolution optical satellite sensors are very useful capture resist unfavorable field conditions sub-field scale. In this study,...

Private and consortium blockchains have recently raised interest in the blockchain community around facilitating business collaboration. In a network, multiple participants either (1) work with centralized authority to maintain complete verifiable ledger, or (2) transact decentralized manner an independent shared ledger. A centralized, private system, such as Amazon QLDB, addresses scenario one good price-to-performance ratio. The second is commonly backed by Hyperledger Fabric, that...

Urban vegetation has important impacts on urban heat island, human living environments and even quality of life. The areal increase great contribution in achieving Sustainable Development Goals (SDGs) United Nations. It is needed to accurately extract different types using high spatial resolution images, but the limitation remotely sensed data complexity landscapes make it challenging. This research aims explore integration multispectral stereo imagery with for classification landscape East...

Evapotranspiration (ET) plays a crucial role in water balance within the global hydrological cycle. Timely assessment of ET products can provide scientific basis for quantitative analysis cycle processes and resources assessment. In this paper, four high spatial resolution remote sensing products—the Moderate-resolution Imaging Spectroradiometer terrestrial evapotranspiration product (MOD16), based on Penman–Monteith–Leuning equation version 2 (PML-V2), Breathing Earth System Simulator...