Spectral and Soil Quality Index for Monitoring Environmental Rehabilitation and Soil Carbon Stock in an Amazonian Sandstone Mine

Autor:	Paula Godinho Ribeiro, Gabriel Caixeta Martins, Markus Gastauer, Ediu Carlos da Silva Junior, Diogo Corrêa Santos, Cecílio Frois Caldeira Júnior, Rosane Barbosa Lopes Cavalcante, Douglas Silva dos Santos, Marco Aurélio Carbone Carneiro, Rafael Borges da Silva Valadares, Wilson da Rocha Nascimento Junior, Guilherme Oliveira, Pedro Walfir Martins e Souza Filho, Silvio Junio Ramos
Rok vydání:	2022
Předmět:	digital map Environmental effects of industries and plants NDVI topsoil Renewable Energy Sustainability and the Environment Geography Planning and Development TJ807-830 BSI Management Monitoring Policy and Law TD194-195 reclaimed mine soil Renewable energy sources Environmental sciences GE1-350
Zdroj:	Sustainability; Volume 14; Issue 2; Pages: 597 Sustainability, Vol 14, Iss 597, p 597 (2022)
ISSN:	2071-1050
DOI:	10.3390/su14020597
Popis:	Rehabilitation is the key factor for improving soil quality and soil carbon stock after mining operations. Monitoring is necessary to evaluate the progress of rehabilitation and its success, but the use of repeated field surveys is costly and time-consuming at a large scale. This study aimed to monitor the environmental/soil rehabilitation process of an Amazonian sandstone mine by applying spectral indices for predicting soil organic carbon (SOC) stock and comparing them to soil quality index. The studied area has different chronological rehabilitation stages: initial, intermediate, and advanced with 2, 10, and 12 years of onset rehabilitation activities, respectively. Non-rehabilitated (NR) and two native forest areas (RA) were used as controls. Soil samples were analyzed for physical, chemical, and biological attributes. After determination of Normalized Difference Vegetation Index and Bare Soil Index, simple regression analysis comparing these indices with SOC stock showed a good fit (R2 = 0.82). Rehabilitated areas presented higher soil quality index (~1.50-fold) and SOC stock (~10.6-fold) than NR; however, they did not differ of RA. The use of spectral indices was effective for monitoring the soil quality in this study, with a positive correlation between the predicted SOC stock and the calculated soil quality index.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd632e7f13530efc3b5456d6f77f4693 https://doi.org/10.3390/su14020597 Zobrazit plný text záznamu