-
iSDAsoil extractable Aluminium
Extractable aluminium at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. Soil property predictions were made by Innovative Solutions for Decision Agriculture Ltd. (iSDA) at 30 m pixel size using machine learning coupled … africa aluminium isda soil -
iSDAsoil Total Carbon
Total carbon at soil depths of 0-20 cm and 20-50 cm, predicted mean and standard deviation. Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be … africa aluminium isda soil -
iSDAsoil Effective Cation Exchange Capacity
Effective Cation Exchange Capacity predicted mean and standard deviation at soil depths of 0-20 cm and 20-50 cm, Pixel values must be back-transformed with exp(x/10)-1. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) … africa aluminium isda soil -
iSDAsoil USDA Texture Class
USDA Texture Class at soil depths of 0-20 cm and 20-50 cm. In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artifacts such as banding (striping) might be seen. Soil property predictions were made by Innovative Solutions for Decision … africa aluminium isda soil
[null,null,[],[[["This webpage presents a collection of soil property datasets for Africa, including extractable aluminum, total carbon, effective cation exchange capacity, and USDA texture class."],["These datasets, created by Innovative Solutions for Decision Agriculture Ltd.(iSDA), provide predicted mean and standard deviation at soil depths of 0-20 cm and 20-50 cm."],["Pixel values require back-transformation using the formula exp(x/10)-1 for analysis."],["Users should be aware of potential accuracy limitations in dense jungle areas, particularly in central Africa, where artifacts like banding may occur."]]],[]]