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Identification of cropland in Tibetan Plateau based on time series remote sensing features 基于时间序列遥感特征的青藏高原耕地识别
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-07-16 DOI: 10.1080/10106049.2024.2375583
Xin Du, Qiangzi Li, Longcai Zhao, Yunqi Shen, Sichen Zhang, Yuan Zhang, Hongyan Wang, Jingyuan Xu
Cropland is crucial for regional food security, especially in vulnerable areas like the Tibetan Plateau. Accurate monitoring was hindered of cropland distribution due to complex topography and dive...
耕地对地区粮食安全至关重要,尤其是在青藏高原这样的脆弱地区。复杂的地形和潜水条件阻碍了对耕地分布的准确监测。
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引用次数: 0
Inversion study of the meadow steppe above-ground biomass based on ground and airborne hyperspectral data 基于地面和机载高光谱数据的草甸草原地上生物量反演研究
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-07-10 DOI: 10.1080/10106049.2024.2370304
Hefei Wen, Yong Zhang, Xiumei Wang, Ruochen Wang, Wenbo Wu, Jianjun Dong
Above-ground biomass (AGB) is a critical criterion for assessing the ecological value and productivity of grasslands. Quickly and accurately estimating the AGB of grasslands has become a matter of ...
地上生物量(AGB)是评估草地生态价值和生产力的重要标准。快速、准确地估算草地的地上生物量已成为一个重要问题。
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引用次数: 0
Ground vehicle gravimetry system based on SINS and two-dimensional LDV integration: error analysis and verification 基于 SINS 和二维 LDV 集成的地面车辆重力测量系统:误差分析与验证
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-07-08 DOI: 10.1080/10106049.2024.2375589
Jiayi Cheng, Zekun Yang, Chengzhi Hou, Xu Zhu, Guo Wei, Wenjian Zhou, Mailun Chen, Ye Tian, Chunfeng Gao
As an effective tool for refining local gravity data with mGal accuracy, vehicle gravimetry system usually consists of Strapdown Inertial Navigation System (SINS) and Global Navigation Satellite Sy...
作为以毫戈尔精度完善本地重力数据的有效工具,车辆重力测量系统通常由带式惯性导航系统(SINS)和全球导航卫星系统(GNSS)组成。
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引用次数: 0
Remote sensing image semantic segmentation network based on multi-scale feature enhancement fusion 基于多尺度特征增强融合的遥感图像语义分割网络
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-07-08 DOI: 10.1080/10106049.2024.2375585
Feiting Wang, Yuan Zhang, Qiongqiong Hu, Yu Zhu
Semantic segmentation is a crucial method for recognizing and classifying objects in high-resolution remote sensing images (HRRSIs). However, due to the problems of varying target scale and difficu...
语义分割是对高分辨率遥感图像(HRRSI)中的物体进行识别和分类的重要方法。然而,由于目标尺度不一、难以识别和分类等问题,语义分割技术在遥感图像的识别和分类中发挥着越来越重要的作用。
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引用次数: 0
UAV-based multispectral image analytics and machine learning for predicting crop nitrogen in rice 基于无人机的多光谱图像分析和机器学习预测水稻作物含氮量
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-07-04 DOI: 10.1080/10106049.2024.2373867
Suyog Balasaheb Khose, Damodhara Rao Mailapalli
Assessment of crop nitrogen status is essential for efficient crop growth management. Existing nitrogen measurements are accurate but destructive, laborious, and time-consuming. Therefore, the soil...
评估作物氮素状况对高效管理作物生长至关重要。现有的氮测量方法虽然准确,但破坏性大、费时费力。因此,土壤...
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引用次数: 0
Warming inland water in peninsular Spain revealed by landsat 5 analysis 陆地卫星 5 号分析显示西班牙半岛内陆水域变暖
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-07-03 DOI: 10.1080/10106049.2024.2371923
Carolina Echavarría-Caballero, José Antonio Domínguez-Gómez, Concepción González-García, Raquel Domínguez-Perez, María Jesús García-García
Lakes and reservoirs provide habitat for a wide range of species and are essential components of numerous ecosystems. In Spain, these water bodies are particularly important and sensitive, so study...
湖泊和水库为众多物种提供了栖息地,是众多生态系统的重要组成部分。在西班牙,这些水体尤为重要和敏感,因此研究...
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引用次数: 0
Current land subsidence in Jakarta: a multi-track SBAS InSAR analysis during 2017–2022 using C-band SAR data 雅加达当前的土地沉降:利用 C 波段合成孔径雷达数据对 2017-2022 年期间的多轨道 SBAS InSAR 分析
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-07-02 DOI: 10.1080/10106049.2024.2364726
Harintaka Harintaka, Argo Galih Suhadha, Agung Syetiawan, Mohammad Ardha, Anisa Rarasati
In Jakarta, Indonesia, rapid urbanization and intensive groundwater extraction have led to significant land subsidence, posing challenges for sustainable urban management. This study utilized Inter...
在印度尼西亚雅加达,快速的城市化和密集的地下水开采导致了严重的地面沉降,给可持续城市管理带来了挑战。这项研究利用了 Inter...
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引用次数: 0
Understanding the spatio-temporal distribution of bush encroachment in savannah rangelands, South Africa 了解南非热带稀树草原牧场灌木侵蚀的时空分布情况
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-07-02 DOI: 10.1080/10106049.2024.2366515
Thabang Maphanga, Cletah Shoko, Mbulisi Sibanda, Kgabo Humphrey Thamaga, Timothy Dube
Bush encroachment threatens rangelands’ biodiversity and productivity, impacting savannah ecosystems based on location, management practices, and factors like erratic rainfall, climate change, and ...
灌木丛的蚕食威胁着牧场的生物多样性和生产力,并根据地点、管理方法以及降雨量不稳定、气候变化和......等因素对热带稀树草原生态系统造成影响。
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引用次数: 0
Sentinel-2 image based smallholder crops classification and accuracy assessment by UAV data 基于 "哨兵-2 "图像的小农作物分类以及无人机数据的精度评估
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-07-01 DOI: 10.1080/10106049.2024.2361733
Kadierye Maolan, Yusufujiang Rusuli, Zhang XuHui, Yimuran Kuluwan
Timely and accurate extraction of crop planting units plays a critical role in crop yield estimation, soil management, food supplies, and disaster warnings. However, precisely mapping crop types is...
及时准确地提取作物种植单位在作物产量估算、土壤管理、粮食供应和灾害预警方面起着至关重要的作用。然而,精确绘制作物类型是一项艰巨的任务。
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引用次数: 0
Improved mapping of highland bamboo forests using Sentinel-2 time series and machine learning in Google Earth Engine 利用哨兵-2 时间序列和谷歌地球引擎中的机器学习改进高原竹林制图
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-07-01 DOI: 10.1080/10106049.2024.2364680
Dagnew Yebeyen, Binyam Tesfaw Hailu, Worku Zewdie, Temesgen Abera, Gudeta W. Sileshi, Melaku Getachew, Sileshi Nemomissa
Recent advances in the application of spectral bands from satellite observations and machine learning algorithms (MLA) in the Google Earth Engine (GEE) cloud-computing platform have been demonstrat...
在谷歌地球引擎(GEE)云计算平台上应用卫星观测光谱波段和机器学习算法(MLA)的最新进展已经得到了证实。
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引用次数: 0
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