亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Comparison of predicted soil physical property maps based on (i) LUCAS topsoil database and (ii) Hungarian Soil Information and Monitoring System

作者
András Benő,Gábor Szatmári,Annamária Laborczi,Mihály Kocsis,Zsófia Bakacsi,László Pásztor
标识
DOI:10.5194/egusphere-egu24-18218
摘要

The adaption of our land use and agricultural practices requires more detailed and more reliable spatial soil physical data. The LUCAS topsoil database is an up to date collection of soil physical data, however it is spatially scarce. The soil physical data of the Hungarian Soil Information and Monitoring System (SIMS) is spatially denser and has data from multiple layers from 1992. Harmonizing and combining the two datasets can lead to the creation of better resolution and more accurate maps. Before combining the databases, we must make sure, that the sample points represent the area in the same way. The comparison of the data began with the cleansing of the datasets, followed by the conversion of the many sampling depths of the SIMS data to 0-20 cm using mass preserving splines and the conversion of the particle size limit from FAO/WRB to USDA standard. To make sure, that the sum of the sand, silt and clay fractions was 100% additive log ratio (ALR) transformation was applied on both LUCAS and SIMS. Mapping was carried out using random forest kriging with 10-fold cross-validation on a 100 m * 100 m grid using 28 environmental covariates. The ALR maps were converted back, resulting in the sand, silt and clay maps. Using the three maps, soil texture classes were calculated for both datasets using the USDA soil texture triangle. The soil texture classes were compared to each other pixel-by-pixel using the taxonomical distances of the texture classes. The particle fraction maps were compared to each other also pixel-by-pixel using linear regression. The results let us conclude that the LUCAS and SIMS databases produce very similar maps of both sand, silt a clay. The soil texture class comparison also resulted in a very close match with the majority of the country producing very close or perfect matches.  The two soil monitoring systems produce very similar results when mapping sand, silt, clay and soil texture for the whole country and can safely be combined together for future use and mapping.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
OKk完成签到,获得积分20
6秒前
Tree发布了新的文献求助10
1分钟前
CodeCraft应助Tree采纳,获得10
1分钟前
1分钟前
starfish发布了新的文献求助10
1分钟前
Kao应助科研通管家采纳,获得10
1分钟前
Kao应助科研通管家采纳,获得10
1分钟前
Kao应助科研通管家采纳,获得10
1分钟前
ding应助科研通管家采纳,获得10
1分钟前
Kao应助科研通管家采纳,获得10
1分钟前
勤奋谷秋完成签到 ,获得积分10
1分钟前
1分钟前
pluviophile发布了新的文献求助10
1分钟前
Tree发布了新的文献求助10
2分钟前
pluviophile完成签到,获得积分10
2分钟前
Tree发布了新的文献求助10
2分钟前
2分钟前
Cher.发布了新的文献求助10
2分钟前
CodeCraft应助Tree采纳,获得10
2分钟前
Cindy完成签到,获得积分10
2分钟前
3分钟前
Kao应助科研通管家采纳,获得10
3分钟前
Kao应助科研通管家采纳,获得10
3分钟前
3分钟前
Tree发布了新的文献求助10
3分钟前
Tree完成签到,获得积分20
3分钟前
3分钟前
zxy发布了新的文献求助10
3分钟前
今天没带脑子完成签到 ,获得积分10
3分钟前
4分钟前
StarTrr发布了新的文献求助10
4分钟前
深情安青应助StarTrr采纳,获得10
4分钟前
4分钟前
纯情的凡双完成签到 ,获得积分10
4分钟前
满意黑夜完成签到,获得积分10
4分钟前
冉亦完成签到,获得积分10
4分钟前
5分钟前
Hello应助无语的依凝采纳,获得30
5分钟前
Kao应助科研通管家采纳,获得10
5分钟前
Kao应助科研通管家采纳,获得10
5分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7496764
求助须知:如何正确求助?哪些是违规求助? 9087836
关于积分的说明 19382948
捐赠科研通 7107613
什么是DOI,文献DOI怎么找? 3250082
关于科研通互助平台的介绍 2419587
邀请新用户注册赠送积分活动 2235875