找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: ;

[復(fù)制鏈接]
查看: 33649|回復(fù): 37
樓主
發(fā)表于 2025-3-21 17:33:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery
編輯Nicolas Ackermann
視頻videohttp://file.papertrans.cn/390/389050/389050.mp4
叢書名稱Springer Theses
圖書封面Titlebook: ;
出版日期Book 2015
版次1
doihttps://doi.org/10.1007/978-3-319-13138-2
isbn_softcover978-3-319-38594-5
isbn_ebook978-3-319-13138-2Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
The information of publication is updating

書目名稱Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery影響因子(影響力)




書目名稱Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery影響因子(影響力)學(xué)科排名




書目名稱Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery網(wǎng)絡(luò)公開度




書目名稱Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery被引頻次




書目名稱Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery被引頻次學(xué)科排名




書目名稱Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery年度引用




書目名稱Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery年度引用學(xué)科排名




書目名稱Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery讀者反饋




書目名稱Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:56:05 | 只看該作者
Depicting and the Conventional ImageThis study aims to estimate the growing stock volume (.) in temperate forest regions using a fusion approach based on synthetic-aperture radar (SAR) satellite imagery.
板凳
發(fā)表于 2025-3-22 01:24:22 | 只看該作者
https://doi.org/10.1057/9780230100824Over the past 10?years, the number of research activities in the field of radar remote sensing has increased considerably. To identify the main findings regarding SAR and forestry, a comprehensive review of the literature was conducted focusing on different SAR techniques and fusion of SAR information.
地板
發(fā)表于 2025-3-22 08:06:25 | 只看該作者
https://doi.org/10.1007/978-94-017-6643-2To comprehend the various forest parameters and SAR techniques considered in this thesis, the biophysical attributes of a forest and SAR theory have been reviewed in this chapter.
5#
發(fā)表于 2025-3-22 10:28:31 | 只看該作者
6#
發(fā)表于 2025-3-22 15:32:22 | 只看該作者
https://doi.org/10.1007/978-94-6091-596-3The main purpose of this study is the estimation of forest . using a combination of SAR data.
7#
發(fā)表于 2025-3-22 19:50:57 | 只看該作者
8#
發(fā)表于 2025-3-23 00:51:47 | 只看該作者
9#
發(fā)表于 2025-3-23 02:21:34 | 只看該作者
Literature Review,Over the past 10?years, the number of research activities in the field of radar remote sensing has increased considerably. To identify the main findings regarding SAR and forestry, a comprehensive review of the literature was conducted focusing on different SAR techniques and fusion of SAR information.
10#
發(fā)表于 2025-3-23 06:00:00 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 05:37
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
股票| 高雄市| 南漳县| 东城区| 鄂伦春自治旗| 开远市| 墨江| 南平市| 资兴市| 江阴市| 榆社县| 福鼎市| 宜宾县| 沧源| 石棉县| 金秀| 平顶山市| 二连浩特市| 新巴尔虎左旗| 罗江县| 仪陇县| 本溪| 延长县| 宁夏| 民丰县| 东乡| 仁怀市| 郧西县| 克东县| 海宁市| 固阳县| 通辽市| 博乐市| 大竹县| 牡丹江市| 定州市| 安龙县| 大庆市| 六盘水市| 临江市| 长治市|