نتایج جستجو برای: sentinel 2 red edge position s2rep

تعداد نتایج: 2916739  

Journal: :Remote Sensing 2022

Aggregates of floating materials detected in North Adriatic six Sentinel-2 scenes August 2020 have been investigated. Most the were identified by chlorophyll red edge and consisted vegetal materials, probably conveyed rivers exchanged with lagoons. Traces marine litter looked for spectral anomalies Red Edge bands, assuming changes pixels where was mixed materials. About half patches unclassifie...

Journal: :Land 2021

Satellite remote sensing is a useful tool for estimating crop variables, particularly Leaf Area Index (LAI), which plays pivotal role in monitoring development. The goal of this study was to identify the optimal Sentinel-2 bands LAI estimation and derive Vegetation Indices (VI) that are well correlated with LAI. Linear regression models between time series imagery field-measured showed Band-8A—...

Journal: :Journal of remote sensing 2022

å†¬å°éº¦æ˜¯ä¸­å›½çš„ä¸»è¦ç²®é£Ÿä½œç‰©ä¸”ç§æ¤é¢ç§¯å¹´é™ å˜åŒ–è¾ƒå¤§ï¼ŒåŠæ—¶å‡†ç¡®æŽŒæ¡å†¬å°éº¦ç§æ¤é¢ç§¯å˜åŒ–æœ‰åˆ©äºŽå›½å®¶å’Œç›¸å ³éƒ¨é—¨ç§‘å­¦å†³ç­–ã€‚é¥æ„ŸæŠ€æœ¯æ˜¯èŽ·å–å¤§èŒƒå›´å†¬å°éº¦ç§æ¤é¢ç§¯æ•°æ®çš„æœ€æœ‰æ•ˆæ‰‹æ®µã€‚å‰æœŸç ”ç©¶å¤šåˆ©ç”¨å¤šæ—¶ç›¸ä¸­ä½Žåˆ†è¾¨çŽ‡å½±åƒï¼ˆå¦‚MODIS)的归一化植被指数NDVI(Normalized Difference Vegetation Index)开展大范围å†...

Journal: :Remote Sensing 2022

Cotton is an important economic crop, but large-scale field extraction and estimation can be difficult, particularly in areas where cotton fields are small discretely distributed. Moreover, soybean cultivated together some areas, further increasing the difficulty of extraction. In this paper, innovative method for area using Sentinel-2 images, land use status data (LUSD), survey proposed. Three...

Extended abstract 1- Introduction  Coasts maintain their natural sustainability without human intervention and in spite of short-term changes, we are ultimately confronted with a coastal healthy environment, i.e. natural, rocky beaches, sandy beaches and so on. Today's use of remote sensing in most natural sciences is widespread. Due to the fact that fieldwork is costly and time-consuming, ...

Journal: :Remote Sensing 2023

Corn (Zea mays L.) nitrogen (N) management requires monitoring plant N concentration (Nc) with remote sensing tools to improve use, increasing both profitability and sustainability. This work aims predict the corn Nc during growing cycle from Sentinel-2 Sentinel-1 (C-SAR) sensor data fusion. Eleven experiments using five fertilizer rates (0, 60, 120, 180, 240 kg ha−1) were conducted in Pampas r...

Journal: :Journal of Spatial Science 2021

This study investigated the utility of Sentinel-2 spectral data for estimating leaf area index (LAI), and canopy chlorophyll content maize at different growth stages. Vegetation indices based on visible-near infrared red-edge regions spectrum were computed from imagery acquired within one or two days field collection. Results showed that green (CIgreen) (CIred-edge), using variant centred 705 n...

Journal: :Remote Sensing 2016
Haiyan Huang David P. Roy Luigi Boschetti Hankui K. Zhang Lin Yan Sanath Sathyachandran Kumar José Gómez-Dans Jian Li

Biomass burning is a global phenomenon and systematic burned area mapping is of increasing importance for science and applications. With high spatial resolution and novelty in band design, the recently launched Sentinel-2A satellite provides a new opportunity for moderate spatial resolution burned area mapping. This study examines the performance of the Sentinel-2A Multi Spectral Instrument (MS...

Journal: :Geocarto International 2022

In the present study, temporal and spatial dynamics of post-fire recovery different Mediterranean vegetation types during three years after fire event were analyzed, according to severity categories, integrating use Synthetic Aperture Satellite Radar (SAR) (Sentinel-1) optical (Sentinel-2) image time series. The results showed that forest species shrub/herbaceous are adapted fire, with high eff...

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